Gorachand Dutta – författare

Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.

This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.

It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.

The book offers comprehensive coverage of related topics, including:

This book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.

Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.

This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.

It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.

The book offers comprehensive coverage of related topics, including:

This book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.

This book addresses challenges for the development of a point-of-care-test platform. The book describes printed chip-based assay (Lab-on-a-Chip, Lab-on-a-PCB) for rapid, inexpensive biomarkers detection in real samples. The main challenges of point-of-care testing require implementing complex analytical methods into low-cost technologies. This is particularly true for countries with less developed healthcare infrastructure. Washing-free, Lab-on-Chip, and Lab-on-PCB techniques are very simple and innovative for point-of-care device development. The redox cycling technology detects several interesting targets at the same time on a printed chip. The proposed areas are inherently cross-disciplinary, combining expertise in biosensing, electrochemistry, electronics and electrical engineering, health care, and manufacturing. This book focuses on recent advances and different research issues in the nanobiotechnology-enabled biosensor technology and also seeks out theoretical, methodological, well-established, and validated empirical work dealing with these different topics.

This book reviews the potential of next-generation point-of-care diagnosis in healthcare. It also discusses the printed chip-based assay (Lab-on-a-Chip, Lab-on-a-PCB) for rapid, inexpensive biomarkers detection. The book presents the development of sensory systems based on the use of nanomaterials. It examines different biosensors for medical diagnosis using surface modification strategies of transducers. It presents electrochemical concepts based on different nanobiomaterials and nanocomposites for cancer theranostics. Notably, the book examines the recent advances in wearable, cost-effective hemodynamic sensors to detect diseases at an early stage. It further explores the combination of redox cycling and electrochemical detection to develop ultrasensitive and reproducible biosensors for point-of-care testing. Finally, the book summarizes the significant challenges in the point of care diagnostics and its future opportunities in healthcare.