Wireless networks operate in environments with unknown and time-varying characteristics.
The changing nature of many of these characteristics will significantly affect network …

Sensor networks, as a promising network paradigm, have been widely applied in a great
deal of critical real-world applications. A key challenge in sensor networks is how to improve …

Over the last few decades, algorithms inspired by nature have matured into a widely used
class of computing methods. They have shown the ability to adjust to variety of conditions …

In wireless sensor networks (WSNs), coverage and quality detection are the aspects which
are extremely significant in criteria such as quality of service and power consumption …

The fundamental challenge for randomly deployed resource-constrained wireless sensor
network is to enhance the network lifetime without compromising its performance metrics …

The exponential growth in the demands of users to access various resources during mobility
has led to the popularity of Vehicular Mobile Cloud. Vehicular users may access various …

Due to the highly mobile and continuously changing topology, the major problem in
Vehicular Ad Hoc Networks (VANETs) is how and where the collected information is to be …

In wireless sensor networks, when each target is covered by multiple sensors, we can
schedule sensor nodes to monitor deployed targets in order to improve lifetime of network. In …

This book is written for computer engineers, scientists, and students studying/working in
reinforcement learning and artificial intelligence domains. The book collects recent …

Heterogeneous sensor networks (HSNs) comprise of different types of sensors with varying
range and sensing quality. Coverage is one of the most important performance metrics for …