Computational Intelligence for Wireless Sensor Networks

Computational Intelligence in 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 ofcomputational intelligence can benefit wireless sensor networks and sensor-enabled technologies to overcome their issues. The book provides extensive coverage over the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations. The book 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 meet the inherent design challenges. The 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 further be pursued in the development of sensor-enabled applications--