Une approche bio-inspiré pour un routage adaptatif efficace en énergie dans les réseaux de capteurs sans fil

Abstract

Design and develop energy-efficient routing protocols for Wireless Sensor Networks (WSN) has an important contribution to improve network performances and increase their lifetime. The objective of this work is to adapt a bio-inspired hierarchical routing protocol based on the principle of the B cells in Natural Immune System (SIN) and that we named AISBCP (Artificial Immune System Based Clustering Protocol). Clonal sélections is one of the theories of artificial immune system (AIS) and mostly used to solve problems intelligently based on heuristics, the natural selection and mutation. This new evolutionary classification approach improves the efficiency of routing in sensor networks. In fact, the routing algorithm that we propose gives better results.