E-Books →Metaheuristics and Reinforcement Techniques for Smart Sensor Applications

* Presents an overview of the low-power sensor, network standards, design challenges and sensor network simulation
* Focusses on clustering, methods available for wireless sensor networks to tackle energy hole problems, load balancing and network lifetime enhancements
* Discusses enhanced versions of energy models enriched with energy harvesting
* Provides an insight into coverage and connectivity issues with genetic meta-heuristics, evolutionary models and reinforcement methodologies designed for wireless sensor networks
* Includes a wide range of sensor network applications and their integration with social networks and neural computing.
The reference book is for researchers and scholars interested in Smart Sensor applications.