User satisfaction as a significant antecedent to user loyalty has been highlighted by many
researchers in market based literatures. SLA violation as an important factor can decrease …

We consider sensor self-deployment problem, constructing FOCUSED coverage (F-
coverage) around a Point of Interest (POI), with novel evaluation metric, coverage radius. We …

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

Connectivity and different coverage types including target, area, and barrier coverages are
among the most critical challenges of wireless sensor networks (WSN). This paper …

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 …

Cellular learning automaton (CLA) is a recently introduced model that combines cellular
automaton (CA) and learning automaton (LA). The basic idea of CLA is to use LA to adjust …

Abstract An Adaptive Cooperative Particle Swarm Optimizer (ACPSO) is introduced in this
paper, which facilitates cooperation technique through the usage of the Learning Automata …

In the last decade, numerous efforts have been devoted to design efficient algorithms for
clustering the wireless mobile ad-hoc networks (MANET) considering the network mobility …

Cellular learning automata (CLA) is a distributed computational model which was introduced
in the last decade. This model combines the computational power of the cellular automata …

Community structure is a common and important property of complex networks. The
detection of communities has great significance for understanding the function and …