Chuang Lin – författare

This SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks under bursty traffic. It covers typical Quality-of-Service performance metrics such as mean throughput, average delay and packet dropping probability. Along with an introduction of SPN basics, the authors introduce the key motivation and challenges of using SPN to analyze the resource sharing performance in wireless networks. The authors explain two powerful modeling techniques that treat the well-known state space explosion problem: model decomposition and iteration, and model aggregation using stochastic high-level petri nets. The first technique assists in performance analysis of opportunistic scheduling, Device-to-Device communications with full frequency reuse and partial frequency reuse. The second technique is used to formulate a wireless channel mode for cross-layer performance analysis in OFDM system. Stochastic Petri Nets for Wireless Networks reveals useful insights for the design of radio resource management algorithms and a new line of thinking for the performance evaluation of future wireless networks. This material is valuable as a reference for researchers and professionals working in wireless networks and for advanced-level students studying wireless technologies in electrical engineering or computer science.

This SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks under bursty traffic. It covers typical Quality-of-Service performance metrics such as mean throughput, average delay and packet dropping probability. Along with an introduction of SPN basics, the authors introduce the key motivation and challenges of using SPN to analyze the resource sharing performance in wireless networks. The authors explain two powerful modeling techniques that treat the well-known state space explosion problem: model decomposition and iteration, and model aggregation using stochastic high-level petri nets. The first technique assists in performance analysis of opportunistic scheduling, Device-to-Device communications with full frequency reuse and partial frequency reuse. The second technique is used to formulate a wireless channel mode for cross-layer performance analysis in OFDM system. Stochastic Petri Nets for Wireless Networks reveals useful insights for the design of radio resource management algorithms and a new line of thinking for the performance evaluation of future wireless networks. This material is valuable as a reference for researchers and professionals working in wireless networks and for advanced-level students studying wireless technologies in electrical engineering or computer science.

This book covers a series of security and privacy issues in network coding, and introduces three concrete mechanisms to address them. These mechanisms leverage traditional cryptographic primitives and anonymous protocols, and are redesigned to fit into the new framework of network coding. These three mechanisms are MacSig, a new message authentication method for network-coded systems; P-Coding, a new encryption scheme to secure network-coding-based transmissions; and ANOC, a new anonymous routing protocol that seamlessly integrates anonymous routing with network coding. Along with these three mechanisms, the authors provide a review of network coding's benefits, applications, and security problems. Also included is a detailed overview of security issues in the field, with an explanation of how the security issues differ from those in traditional settings. While network coding can help improve network performance, the adoption of network coding can begreatly limited unless security and privacy threats are addressed. Designed for researchers and professionals, Security in Network Coding explores major challenges in network coding and offers practical solutions. Advanced-level students studying networking or system security will also find the content valuable.

This book covers a series of security and privacy issues in network coding, and introduces three concrete mechanisms to address them. These mechanisms leverage traditional cryptographic primitives and anonymous protocols, and are redesigned to fit into the new framework of network coding. These three mechanisms are MacSig, a new message authentication method for network-coded systems; P-Coding, a new encryption scheme to secure network-coding-based transmissions; and ANOC, a new anonymous routing protocol that seamlessly integrates anonymous routing with network coding. Along with these three mechanisms, the authors provide a review of network coding''s benefits, applications, and security problems. Also included is a detailed overview of security issues in the field, with an explanation of how the security issues differ from those in traditional settings. While network coding can help improve network performance, the adoption of network coding can begreatly limited unless security and privacy threats are addressed. Designed for researchers and professionals, Security in Network Coding explores major challenges in network coding and offers practical solutions. Advanced-level students studying networking or system security will also find the content valuable.