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ACO Based Energy-Balance Routing Algorithm for WSNs

  • Xuepeng Jiang
  • Bei Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

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.

Keywords

Ant Colony Optimization WSNs routing algorithm Energy Balance Pheromone 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Xuepeng Jiang
    • 1
  • Bei Hong
    • 2
  1. 1.Department of Strategic Missile EngineeringNaval Aeronautical and Astronautical UniversityYantaiChina
  2. 2.Xi’an Institute of Hi-TechXi’anChina

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