Ocean buoy communication node selection strategy with intelligent ant behavior

Authors:
Benlian Xu;Qinglan Chen;Wan Shi;Xiaoying Wang
Affiliations:
School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu, China;School of Mechanical Engineering, Changshu Institute of Technology, Changshu, China;School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu, China;School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2012

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Abstract

In this paper, we propose a novel ant system algorithm for balancing node energy distribution with maximum the number of complete data transmission in ocean buoy communication sensor network. In our algorithm, a complete transmission process is regarded as an ant tour, and each ant stochastically select corresponding node based on such information as energy function, heuristic function, and pheromone amount. An appropriate objective function is carefully designed with the expectation of maximizing the number of complete transmission and uniform minimum energy distribution. Simulation results are presented to support obtained favorable performance of our algorithm.