Comparison of Different Bio Inspired Optimization Algorithms for Improving Network Lifetime in Wireless Sensor Networks

Wireless Sensor Networks are becoming an inevitable part of modern life from healthcare to military applications and are becoming infamous day by day. Hierarchical approaches are used to increase network performance and increase its service life. The problem of extending the life of the network has led to a greater interest in research. Bio-inspired optimization algorithms founded on the principles of the biological evolution of nature appear to cover network life. This document compares these optimized algorithms. From the analysis, we see that the Swarm Intelligence paradigm depends on centralized clustering solutions based on much adapted for several applications with high data delivery speed, low power consumption or great scalability compared to algorithms founded on other offered paradigms.