Bio-Inspired Algorithms for Wireless Network Optimization

Abstract

Significant research interest has been shown in wireless sensor networks (WSNs), particularly in the context of internet of things (IoT) technologies. However, obtaining the optimal WSN lifespan network is a challenging issue that needs to be analyzed critically prior to any network setup. In recent years, new bio-inspired algorithms have been developed drawing their inspiration from biological and natural phenomena. Bio-inspired optimization algorithms have been compared with the traditional optimization algorithms and are showing promise as a solution to complex real-life problems. This chapter provides a survey and tutorial of recent research trends and development efforts addressing WSN issues by using bio-inspired optimization algorithms. The key intention of this work is to serve as a foundation for analysis of the emerging area of bio-inspired algorithms and multi-objective bio-inspired optimization algorithms for solving the underlying issues in wireless sensor networks.