ACO based energy-balance routing algorithm for WSNs

Authors:
Xuepeng Jiang;Bei Hong
Affiliations:
Department of Strategic Missile Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong, China;Xi'an Institute of Hi-Tech, Xi'an, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2010

Citing 3
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Abstract

Ant Colony Optimization (ACO) is a heuristic bionic evolutive algorithm In ACO algorithm, every ant has simple function, works with simple principle, which suits the characteristic of Wireless Sensor Networks (WSNs) and the request of its routing design An ACO based Energy-Balance Routing Algorithm(ABEBR) was presented to balance the energy consumption in WSNs Furthermore, a new pheromone update operator was designed to integrate energy consumption and hops into routing choice This paper compares ABEBR with some classic routing algorithms (LEACH, DD and Flooding) Simulation results show that the presented algorithm can avoid energy working out too early on the less hops path, obviously balance the energy consumption and prolong the lifetime of WSNs.