Abdelhamid Mellouk – författare

The analysis of QoE is not an easy task, especially for multimedia services, because all the factors (technical and non-technical) that directly or indirectly influence the user-perceived quality have to be considered.This book describes different methods to investigate users'' QoE from the viewpoint of technical and non-technical parameters using multimedia services. It discusses the subjective methods for both controlled and uncontrolled environments. Collected datasets are used to analyze users'' profiles, which sheds light on key factors to help network service providers understand end-users'' behavior and expectations. Important adaptive video streaming technologies are discussed that run on unmanaged networks to achieve certain QoS features.The authors present a scheduling method to allocate resources to the end-user based on users'' QoE and optimizes the power efficiency of users'' device for LTE-A. Lastly, two key aspects of 5G networks are presented: QoE using multimedia services (VoIP and video), and power-saving model for mobile device and virtual base station.- Features two proven methods to collect datasets for assessing the user''s QoE- Investigates client-based HTTP rate adaptive video streaming algorithms over TCP protocol to regulate the user''s QoE- Discusses VoIP service and focuses on a QoE driven downlink scheduling method for LTE-A technology- Introduces the concept of ''quality of experience'' presenting all parameters which directly or indirectly influence the user''s satisfaction within two well-used Internet services, multimedia OTT streaming and Voice over IP

Wireless Sensor Networks: Theory and Practice for Deployment addresses WSNs deployment, a mandatory and critical step in the process of developing WSNs solutions for real-life applications. The authors address simple approaches to deploy static WSNs, then exploring more sophisticated approaches to deploy mobile WSNs. Featuring detailed investigations of deployment-related issues such as deployment cost, coverage, connectivity, sensors reliability, and harsh deployment environments, this book will equip you with the basics and an advanced view of both the theoretical and practical aspects, along with knowledge of the guidelines for WSNs deployment.- Provides both the theoretical basis and practical applications- Features an in-depth discussion of deployment-related issues- Covers basic concepts and terminologies as well as highlighting open problems in the research areas to help you solve your deployment-related issues

A modern communication network can be described as a large, complex, distributed system composed by higher interoperating, smaller sub-systems. Today, the proliferation and convergence of different types of wired, wireless, and mobile networks are crucial for the success of the next generation networking. However, these networks can hardly meet the requirements of future integrated-service networks, and are expected to carry multimedia traffic with various Quality of Experience (QoE) and Quality of Service (QoS) requirements. Providing all relevant QoS/QoE issues in these heterogeneous networks is then an important challenge for telecommunication operators, manufacturers, and companies. The impressive emergence and the important demand of the rising generation of real-time Multi-service (such as Data, Voice VoD, Video-Conference, etc.) over communication heterogeneous networks, require scalability while considering a continuous QoS.  This book presents and explains all the techniques in new generation networks which integrate efficient global control mechanisms in two directions: (1) maintain QoS requirements in order to maximize network resources utilization, and minimize operational costs on all the types of wired-wireless-mobile networks used to transport traffic, and (2) mix the QoS associated with home, access, and core networks in order to provide Quality of Service/Quality of Experience expected by users of new services.

A modern communication network can be described as a large, complex, distributed system composed by higher interoperating, smaller sub-systems. Today, the proliferation and convergence of different types of wired, wireless, and mobile networks are crucial for the success of the next generation networking. However, these networks can hardly meet the requirements of future integrated-service networks, and are expected to carry multimedia traffic with various Quality of Experience (QoE) and Quality of Service (QoS) requirements. Providing all relevant QoS/QoE issues in these heterogeneous networks is then an important challenge for telecommunication operators, manufacturers, and companies. The impressive emergence and the important demand of the rising generation of real-time Multi-service (such as Data, Voice VoD, Video-Conference, etc.) over communication heterogeneous networks, require scalability while considering a continuous QoS.  This book presents and explains all the techniques in new generation networks which integrate efficient global control mechanisms in two directions: (1) maintain QoS requirements in order to maximize network resources utilization, and minimize operational costs on all the types of wired-wireless-mobile networks used to transport traffic, and (2) mix the QoS associated with home, access, and core networks in order to provide Quality of Service/Quality of Experience expected by users of new services.

Based on a convergence of network technologies, the Next Generation Network (NGN) is being deployed to carry high quality video and voice data. In fact, the convergence of network technologies has been driven by the converging needs of end-users.The perceived end-to-end quality is one of the main goals required by users that must be guaranteed by the network operators and the Internet Service Providers, through manufacturer equipment. This is referred to as the notion of Quality of Experience (QoE) and is becoming commonly used to represent user perception. The QoE is not a technical metric, but rather a concept consisting of all elements of a user''s perception of the network services. The authors of this book focus on the idea of how to integrate the QoE into a control-command chain in order to construct an adaptive network system. More precisely, in the context of Content-Oriented Networks used to redesign the current Internet architecture to accommodate content-oriented applications and services, they aim to describe an end-to-end QoE model applied to a Content Distribution Network architecture.

About the Authors

Abdelhamid Mellouk is Full Professor at University of Paris-Est C-VdM (UPEC), Networks & Telecommunications (N&T) Department and LiSSi Laboratory, France. Head of several executive national and international positions, he was the founder of the Network Control Research activity at UPEC with extensive international academic and industrial collaborations. His general area of research is in adaptive real-time control for high-speed new generation dynamic wired/wireless networks in order to maintain acceptable Quality of Service/Experience for added-value services. He is an active member of the IEEE Communications Society and has held several offices including leadership positions in IEEE Communications Society Technical Committees.Said Hoceini is Associate Professor at University of Paris-Est C-VdM (UPEC), Networks & Telecommunications (N&T) Department and LiSSi Laboratory, France. His research focuses on routing algorithms, quality of service, quality of experience, and wireless sensor networks, as well as bio-inspired artificial intelligence approaches. His work has been published in several international conferences and journals and he serves on several TPCs.Hai Anh Tran is Associate Professor at the Hanoi University of Science and Technology (HUST), Vietnam. His research focuses on QoE aspects, QoS adaptive control/command mechanisms, wired routing, as well as bio-inspired artificial intelligence approaches.

Based on a convergence of network technologies, the Next Generation Network (NGN) is being deployed to carry high quality video and voice data. In fact, the convergence of network technologies has been driven by the converging needs of end-users.The perceived end-to-end quality is one of the main goals required by users that must be guaranteed by the network operators and the Internet Service Providers, through manufacturer equipment. This is referred to as the notion of Quality of Experience (QoE) and is becoming commonly used to represent user perception. The QoE is not a technical metric, but rather a concept consisting of all elements of a user''s perception of the network services. The authors of this book focus on the idea of how to integrate the QoE into a control-command chain in order to construct an adaptive network system. More precisely, in the context of Content-Oriented Networks used to redesign the current Internet architecture to accommodate content-oriented applications and services, they aim to describe an end-to-end QoE model applied to a Content Distribution Network architecture.

About the Authors

Abdelhamid Mellouk is Full Professor at University of Paris-Est C-VdM (UPEC), Networks & Telecommunications (N&T) Department and LiSSi Laboratory, France. Head of several executive national and international positions, he was the founder of the Network Control Research activity at UPEC with extensive international academic and industrial collaborations. His general area of research is in adaptive real-time control for high-speed new generation dynamic wired/wireless networks in order to maintain acceptable Quality of Service/Experience for added-value services. He is an active member of the IEEE Communications Society and has held several offices including leadership positions in IEEE Communications Society Technical Committees.Said Hoceini is Associate Professor at University of Paris-Est C-VdM (UPEC), Networks & Telecommunications (N&T) Department and LiSSi Laboratory, France. His research focuses on routing algorithms, quality of service, quality of experience, and wireless sensor networks, as well as bio-inspired artificial intelligence approaches. His work has been published in several international conferences and journals and he serves on several TPCs.Hai Anh Tran is Associate Professor at the Hanoi University of Science and Technology (HUST), Vietnam. His research focuses on QoE aspects, QoS adaptive control/command mechanisms, wired routing, as well as bio-inspired artificial intelligence approaches.

Resource allocation and power optimization is a new challenge in multimedia services in cellular communication systems.  To provide a better end-user experience, the fourth generation (4G) standard Long Term Evolution/Long Term Evolution-Advanced (LTE/LTE-Advanced) has been developed for high-bandwidth mobile access to accommodate today’s data-heavy applications. LTE/LTE-Advanced has adopted discontinuous reception (DRX) to extend the user equipment’s battery lifetime, thereby further supporting various services and large amounts of data transmissions. By introducing the basics of mathematical analysis and performance evaluation of power-saving mechanisms in 3rd generation partnership project (3GPP) LTE and LTE-Advanced networks, the authors of this book aim to describe novel algorithms which could have better performance capabilities than previous methods. Chapter 1 gives the basic theory description of the 3GPP LTE network and 3GPP DRX power saving mechanism, empirical measurements of LTE network traffic and an overview of the basic LTE DRX model in the field of power saving techniques. Chapter 2 provides steps for deriving a 2-state analytical model up to a 4-state DRX model. The third and final chapter summarizes alternative methods for the implementation of LTE DRX.

Contents

1. Basic Theory. 2. Analytical Semi-Markov Power-Saving Models. 3. Other Approaches for LTE Power Saving.

About the Authors

Scott A. Fowler is Associate Professor at Linköping University, Sweden, working with the Mobile Telecommunication (MT) group. He has served on several IEEE conferences/workshops as TPC to Chair, including Special Interest Groups coordinator for IEEE Communications Software (CommSoft) Technical Committee since 2012. His research interests include Quality of Service (QoS) support over heterogeneous networks, computer networks (wired, wireless), energy management, mobile computing, pervasive/ubiquitous, performance evaluation of networks and security. Abdelhamid Mellouk is Full Professor at the University of Paris-Est Créteil VdM (UPEC, ex. Paris 12), Networks & Telecommunications (N&T) Department (IUT C/V) and LiSSi Laboratory in France. He is a founder of the Network Control Research activity with extensive international academic and industrial collaborations. His general area of research is in adaptive real-time control for high-speed new generation dynamic wired/wireless networking in order to maintain acceptable Quality of Service/Experience for added-value services. Naomi Yamada is a research associate at Linköping University, Sweden.

Resource allocation and power optimization is a new challenge in multimedia services in cellular communication systems.  To provide a better end-user experience, the fourth generation (4G) standard Long Term Evolution/Long Term Evolution-Advanced (LTE/LTE-Advanced) has been developed for high-bandwidth mobile access to accommodate today’s data-heavy applications. LTE/LTE-Advanced has adopted discontinuous reception (DRX) to extend the user equipment’s battery lifetime, thereby further supporting various services and large amounts of data transmissions. By introducing the basics of mathematical analysis and performance evaluation of power-saving mechanisms in 3rd generation partnership project (3GPP) LTE and LTE-Advanced networks, the authors of this book aim to describe novel algorithms which could have better performance capabilities than previous methods. Chapter 1 gives the basic theory description of the 3GPP LTE network and 3GPP DRX power saving mechanism, empirical measurements of LTE network traffic and an overview of the basic LTE DRX model in the field of power saving techniques. Chapter 2 provides steps for deriving a 2-state analytical model up to a 4-state DRX model. The third and final chapter summarizes alternative methods for the implementation of LTE DRX.

Contents

1. Basic Theory. 2. Analytical Semi-Markov Power-Saving Models. 3. Other Approaches for LTE Power Saving.

About the Authors

Scott A. Fowler is Associate Professor at Linköping University, Sweden, working with the Mobile Telecommunication (MT) group. He has served on several IEEE conferences/workshops as TPC to Chair, including Special Interest Groups coordinator for IEEE Communications Software (CommSoft) Technical Committee since 2012. His research interests include Quality of Service (QoS) support over heterogeneous networks, computer networks (wired, wireless), energy management, mobile computing, pervasive/ubiquitous, performance evaluation of networks and security. Abdelhamid Mellouk is Full Professor at the University of Paris-Est Créteil VdM (UPEC, ex. Paris 12), Networks & Telecommunications (N&T) Department (IUT C/V) and LiSSi Laboratory in France. He is a founder of the Network Control Research activity with extensive international academic and industrial collaborations. His general area of research is in adaptive real-time control for high-speed new generation dynamic wired/wireless networking in order to maintain acceptable Quality of Service/Experience for added-value services. Naomi Yamada is a research associate at Linköping University, Sweden.

The main objective of the book is to present state-of-the-art research results and experience reports in the area of quality monitoring for customer experience management, addressing topics which are currently important, such as service-aware future Internet architecture for Quality of Experience (QoE) management on multimedia applications.

In recent years, multimedia applications and services have experienced a sudden growth. Today, video display is not limited to the traditional areas of movies and television on TV sets, but these applications are accessed in different environments, with different devices and under different conditions. In addition, the continuous emergence of new services, along with increasing competition, is forcing network operators and service providers to focus all their efforts on customer satisfaction, although determining the QoE is not a trivial task. This book addresses the QoE for improving customer perception when using added value services offered by service providers, from evaluation to monitoring and other management processes.

The main objective of the book is to present state-of-the-art research results and experience reports in the area of quality monitoring for customer experience management, addressing topics which are currently important, such as service-aware future Internet architecture for Quality of Experience (QoE) management on multimedia applications.

In recent years, multimedia applications and services have experienced a sudden growth. Today, video display is not limited to the traditional areas of movies and television on TV sets, but these applications are accessed in different environments, with different devices and under different conditions. In addition, the continuous emergence of new services, along with increasing competition, is forcing network operators and service providers to focus all their efforts on customer satisfaction, although determining the QoE is not a trivial task. This book addresses the QoE for improving customer perception when using added value services offered by service providers, from evaluation to monitoring and other management processes.

Vehicular Ad-Hoc Networks (VANETs) play a key role to develop Intelligent Transportation Systems (ITS) aiming to achieve road safety and to guaranty needs of drivers and passengers, in addition to improve the transportation productivity. One of the most important challenges of this kind of networks is the data routing between VANET nodes which should be routed with high level of Quality of Service (QoS) to ensure receiving messages in the time. Then, the driver can take the appropriate decision to improve the road safety. In the literature, there are several routing protocols for VANETs which are more or less reliable to reach safety requirements. In this book, we start by describing all VANET basic concepts such as VANET definition, VANET versus Mobile ad-Hoc Network (MANET), architectures, routing definition and steps, Quality of Service (QoS) for VANET Routing, Metrics of evaluation, Experimentation, and simulation of VANETs, mobility patterns of VANET etc. Moreover, different routing protocols for routing in VANETs will be described. We propose two main categories to be presented: classical routing and bio-inspired routing. Concerning classical VANET, main principles and all phases will be overviewed, as well as, their two sub-categories which are topological and geographical protocols. After that, we propose a new category called bio-inspired routing which is inspired by natural phenomenon such as Ant colony, Bee life, Genetic operators etc. We present also, some referential protocols as example of each category.

In this book, we focus on the idea of how to apply bio-inspired principle into VANET routing to improve road safety, and to ensure QoS of vehicular applications.

Vehicular Ad-Hoc Networks (VANETs) play a key role to develop Intelligent Transportation Systems (ITS) aiming to achieve road safety and to guaranty needs of drivers and passengers, in addition to improve the transportation productivity. One of the most important challenges of this kind of networks is the data routing between VANET nodes which should be routed with high level of Quality of Service (QoS) to ensure receiving messages in the time. Then, the driver can take the appropriate decision to improve the road safety. In the literature, there are several routing protocols for VANETs which are more or less reliable to reach safety requirements. In this book, we start by describing all VANET basic concepts such as VANET definition, VANET versus Mobile ad-Hoc Network (MANET), architectures, routing definition and steps, Quality of Service (QoS) for VANET Routing, Metrics of evaluation, Experimentation, and simulation of VANETs, mobility patterns of VANET etc. Moreover, different routing protocols for routing in VANETs will be described. We propose two main categories to be presented: classical routing and bio-inspired routing. Concerning classical VANET, main principles and all phases will be overviewed, as well as, their two sub-categories which are topological and geographical protocols. After that, we propose a new category called bio-inspired routing which is inspired by natural phenomenon such as Ant colony, Bee life, Genetic operators etc. We present also, some referential protocols as example of each category.

In this book, we focus on the idea of how to apply bio-inspired principle into VANET routing to improve road safety, and to ensure QoS of vehicular applications.

Vehicular networks were first developed to ensure safe driving and to extend the Internet to the road. However, we can now see that the ability of vehicles to engage in cyber-activity may result in tracking and privacy violations through the interception of messages, which are frequently exchanged on road.

This book serves as a guide for students, developers and researchers who are interested in vehicular networks and the associated security and privacy issues. It facilitates the understanding of the technologies used and their various types, highlighting the importance of privacy and security issues and the direct impact they have on the safety of their users. It also explains various solutions and proposals to protect location and identity privacy, including two anonymous authentication methods that preserve identity privacy and a total of five schemes that preserve location privacy in the vehicular ad hoc networks and the cloud-enabled internet of vehicles, respectively.

Vehicular networks were first developed to ensure safe driving and to extend the Internet to the road. However, we can now see that the ability of vehicles to engage in cyber-activity may result in tracking and privacy violations through the interception of messages, which are frequently exchanged on road.

This book serves as a guide for students, developers and researchers who are interested in vehicular networks and the associated security and privacy issues. It facilitates the understanding of the technologies used and their various types, highlighting the importance of privacy and security issues and the direct impact they have on the safety of their users. It also explains various solutions and proposals to protect location and identity privacy, including two anonymous authentication methods that preserve identity privacy and a total of five schemes that preserve location privacy in the vehicular ad hoc networks and the cloud-enabled internet of vehicles, respectively.

This book reviews the concept of Software-Defined Networking (SDN) by studying the SDN architecture. It provides a detailed analysis of state-of-the-art distributed SDN controller platforms by assessing their advantages and drawbacks and classifying them in novel ways according to various criteria.

Additionally, a thorough examination of the major challenges of existing distributed SDN controllers is provided along with insights into emerging and future trends in that area. Decentralization challenges in large-scale networks are tackled using three novel approaches, applied to the SDN control plane presented in the book. The first approach addresses the SDN controller placement optimization problem in large-scale IoT-like networks by proposing novel scalability and reliability aware controller placement strategies. The second and third approaches tackle the knowledge sharing problem between the distributed controllers by suggesting adaptive multilevel consistency models following the concept of continuous Quorum-based consistency. These approaches have been validated using different SDN applications, developed from real-world SDN controllers.

This book reviews the concept of Software-Defined Networking (SDN) by studying the SDN architecture. It provides a detailed analysis of state-of-the-art distributed SDN controller platforms by assessing their advantages and drawbacks and classifying them in novel ways according to various criteria.

Additionally, a thorough examination of the major challenges of existing distributed SDN controllers is provided along with insights into emerging and future trends in that area. Decentralization challenges in large-scale networks are tackled using three novel approaches, applied to the SDN control plane presented in the book. The first approach addresses the SDN controller placement optimization problem in large-scale IoT-like networks by proposing novel scalability and reliability aware controller placement strategies. The second and third approaches tackle the knowledge sharing problem between the distributed controllers by suggesting adaptive multilevel consistency models following the concept of continuous Quorum-based consistency. These approaches have been validated using different SDN applications, developed from real-world SDN controllers.

Nowadays, the Internet is becoming more and more complex due to an everincreasing number of network devices, various multimedia services and a prevalence of encrypted traffic. Therefore, in this context, this book presents a novel efficient multi modular troubleshooting architecture to overcome limitations related to encrypted traffic and high time complexity. This architecture contains five main modules: data collection, anomaly detection, temporary remediation, root cause analysis and definitive remediation. In data collection, there are two sub modules: parameter measurement and traffic classification. This architecture is implemented and validated in a software-defined networking (SDN) environment.

Nowadays, the Internet is becoming more and more complex due to an everincreasing number of network devices, various multimedia services and a prevalence of encrypted traffic. Therefore, in this context, this book presents a novel efficient multi modular troubleshooting architecture to overcome limitations related to encrypted traffic and high time complexity. This architecture contains five main modules: data collection, anomaly detection, temporary remediation, root cause analysis and definitive remediation. In data collection, there are two sub modules: parameter measurement and traffic classification. This architecture is implemented and validated in a software-defined networking (SDN) environment.

In the era of the Internet of Things (IoT) and Digital Twins (DT), network infrastructures are rapidly evolving to meet industrial demands. Thus, we were motivated to explore the changing landscape of network deployment, management and utilization, driven by the rise of connected devices and emerging challenges. Software-defined Infrastructure focuses on the cutting-edge shift in hardware deployment and communication management methods, which enable unified, scalable and adaptive network management to support Healthcare IoT (H-IoT) communication, where real-time data transmission is essential to system success. The book presents a novel network concept and solutions for tackling the challenges in key areas such as 5G, and beyond, in network management, multipath transport protocols and edge computing. This book aims to simplify network management, improve remote patient monitoring communication and enhance patient outcomes. Through case studies and theoretical models, the book offers insights into the transformation of advanced networks in the H-IoT context and lays the foundation for innovative ideas in this research domain.

In the era of the Internet of Things (IoT) and Digital Twins (DT), network infrastructures are rapidly evolving to meet industrial demands. Thus, we were motivated to explore the changing landscape of network deployment, management and utilization, driven by the rise of connected devices and emerging challenges. Software-defined Infrastructure focuses on the cutting-edge shift in hardware deployment and communication management methods, which enable unified, scalable and adaptive network management to support Healthcare IoT (H-IoT) communication, where real-time data transmission is essential to system success. The book presents a novel network concept and solutions for tackling the challenges in key areas such as 5G, and beyond, in network management, multipath transport protocols and edge computing. This book aims to simplify network management, improve remote patient monitoring communication and enhance patient outcomes. Through case studies and theoretical models, the book offers insights into the transformation of advanced networks in the H-IoT context and lays the foundation for innovative ideas in this research domain.

In smart cities, video surveillance is essential for public safety, evolving beyond simple camera installations and centralized monitoring due to the overwhelming amount of footage that challenges human operators. To enhance anomaly detection, experts have developed sophisticated computer vision techniques that classify events as normal or abnormal.

Smart Public Safety Video Surveillance System explores an end-to-end urban video surveillance system, which aims to address asymmetric threats through three key strategies: firstly, it employs a corrective signal called “task-specific QoE” that considers contextual factors; secondly, it utilizes machine learningdriven predictive systems and a method known as "similarity-based meta-reinforcement learning" for effective anomaly detection; and thirdly, it advocates for "zero-touch" self-management systems based on autonomous computing. This holistic approach ensures rapid adaptation and situational awareness, effectively meeting the demands of modern businesses and enhancing overall safety in dynamic urban environments.

In smart cities, video surveillance is essential for public safety, evolving beyond simple camera installations and centralized monitoring due to the overwhelming amount of footage that challenges human operators. To enhance anomaly detection, experts have developed sophisticated computer vision techniques that classify events as normal or abnormal.

Smart Public Safety Video Surveillance System explores an end-to-end urban video surveillance system, which aims to address asymmetric threats through three key strategies: firstly, it employs a corrective signal called “task-specific QoE” that considers contextual factors; secondly, it utilizes machine learningdriven predictive systems and a method known as "similarity-based meta-reinforcement learning" for effective anomaly detection; and thirdly, it advocates for "zero-touch" self-management systems based on autonomous computing. This holistic approach ensures rapid adaptation and situational awareness, effectively meeting the demands of modern businesses and enhancing overall safety in dynamic urban environments.

This book explores the world of reconfigurable stochastic Petri nets (RSPNs), a powerful method for modeling and verifying complex, dynamic and reconfigurable systems. As modern discrete-event systems become increasingly flexible, requiring structural adaptability at runtime, classical Petri nets are proving insufficient. This book presents innovative extensions to Petri nets, offering enhanced modeling capabilities for reconfigurable systems, while ensuring efficient verification.

Through a structured approach, this book introduces reconfigurable generalized stochastic Petri nets (RecGSPNs), an advanced framework that integrates reconfigurability while preserving crucial system properties such as liveness, boundedness and deadlock-freedom. This book systematically explores modeling techniques, including stochastic reward nets and dynamic topology transformations, demonstrating their effectiveness through quantitative and qualitative analyses. By addressing challenges in state-space explosion and computational complexity, this book provides essential methodologies for researchers and practitioners working on reconfigurable systems, and serves as a valuable resource for those working in network security, manufacturing systems and distributed computing, where dynamic reconfigurations are essential.

This book explores the world of reconfigurable stochastic Petri nets (RSPNs), a powerful method for modeling and verifying complex, dynamic and reconfigurable systems. As modern discrete-event systems become increasingly flexible, requiring structural adaptability at runtime, classical Petri nets are proving insufficient. This book presents innovative extensions to Petri nets, offering enhanced modeling capabilities for reconfigurable systems, while ensuring efficient verification.

Through a structured approach, this book introduces reconfigurable generalized stochastic Petri nets (RecGSPNs), an advanced framework that integrates reconfigurability while preserving crucial system properties such as liveness, boundedness and deadlock-freedom. This book systematically explores modeling techniques, including stochastic reward nets and dynamic topology transformations, demonstrating their effectiveness through quantitative and qualitative analyses. By addressing challenges in state-space explosion and computational complexity, this book provides essential methodologies for researchers and practitioners working on reconfigurable systems, and serves as a valuable resource for those working in network security, manufacturing systems and distributed computing, where dynamic reconfigurations are essential.

Knowledge Dissemination for Multimedia Traffic presents a clear demonstration of the importance of developed algorithms in terms of access time, distribution, and load sharing between the control nodes for knowledge management, complete with a platform tested on decentralized control of software-defined networks.The extensive growth in Internet traffic, the emergence of new multimedia applications, and the development of new underlying applications has induced many changes in the use of information technology in everyday life. This new evolving trend requires us to rethink the foundation of the network architecture itself, which has resulted in the emergence of new concepts based on a user-centric'' view, instead of a network-centric'' view. Control mechanisms in the network transmission must not only exploit information on data control and management planes, but also consider the knowledge acquired or learned by inductive or deductive inference on the current state of the network (traffic, resources, the rendering of the application) in order to accelerate the decision-making process by the network’s control elements. This book specifically addresses the concept of a system's dissemination of knowledge across autonomic networks. The authors present the foundations and implementation methods for the management, distribution, and exploitation of the knowledge required for the proper functioning of the transmission in the network.

Wireless Sensor Networks: Theory and Practice for Deployment addresses WSNs deployment, a mandatory and critical step in the process of developing WSNs solutions for real-life applications. The authors address simple approaches to deploy static WSNs, then exploring more sophisticated approaches to deploy mobile WSNs. Featuring detailed investigations of deployment-related issues such as deployment cost, coverage, connectivity, sensors reliability, and harsh deployment environments, this book will equip you with the basics and an advanced view of both the theoretical and practical aspects, along with knowledge of the guidelines for WSNs deployment.

Provides both the theoretical basis and practical applications Features an in-depth discussion of deployment-related issues Covers basic concepts and terminologies as well as highlighting open problems in the research areas to help you solve your deployment-related issues

The analysis of QoE is not an easy task, especially for multimedia services, because all the factors (technical and non-technical) that directly or indirectly influence the user-perceived quality have to be considered.

This book describes different methods to investigate users' QoE from the viewpoint of technical and non-technical parameters using multimedia services. It discusses the subjective methods for both controlled and uncontrolled environments. Collected datasets are used to analyze users' profiles, which sheds light on key factors to help network service providers understand end-users' behavior and expectations. Important adaptive video streaming technologies are discussed that run on unmanaged networks to achieve certain QoS features.

The authors present a scheduling method to allocate resources to the end-user based on users' QoE and optimizes the power efficiency of users' device for LTE-A. Lastly, two key aspects of 5G networks are presented: QoE using multimedia services (VoIP and video), and power-saving model for mobile device and virtual base station.

Features two proven methods to collect datasets for assessing the user's QoE Investigates client-based HTTP rate adaptive video streaming algorithms over TCP protocol to regulate the user's QoE Discusses VoIP service and focuses on a QoE driven downlink scheduling method for LTE-A technology Introduces the concept of 'quality of experience' presenting all parameters which directly or indirectly influence the user's satisfaction within two well-used Internet services, multimedia OTT streaming and Voice over IP

Vehicular networks were first developed to ensure safe driving and to extend the Internet to the road. However, we can now see that the ability of vehicles to engage in cyber-activity may result in tracking and privacy violations through the interception of messages, which are frequently exchanged on road.This book serves as a guide for students, developers and researchers who are interested in vehicular networks and the associated security and privacy issues. It facilitates the understanding of the technologies used and their various types, highlighting the importance of privacy and security issues and the direct impact they have on the safety of their users. It also explains various solutions and proposals to protect location and identity privacy, including two anonymous authentication methods that preserve identity privacy and a total of five schemes that preserve location privacy in the vehicular ad hoc networks and the cloud-enabled internet of vehicles, respectively.