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. © 2012 Springer-Verlag.
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CITATION STYLE
Xu, B., Chen, Q., Shi, W., & Wang, X. (2012). Ocean buoy communication node selection strategy with intelligent ant behavior. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7332 LNCS, pp. 596–602). https://doi.org/10.1007/978-3-642-31020-1_71
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