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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.
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Authors and Affiliations
School of Electrical & Automatic Engineering, Changshu Institute of Technology, 215500, Changshu, China
Benlian Xu, Wan Shi & Xiaoying Wang
School of Mechanical Engineering, Changshu Institute of Technology, 215500, Changshu, China
Qinglan Chen
- Benlian Xu
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- Qinglan Chen
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- Wan Shi
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- Xiaoying Wang
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Editors and Affiliations
Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China
Ying Tan
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
Yuhui Shi
Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China
Zhen Ji
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Xu, B., Chen, Q., Shi, W., Wang, X. (2012). Ocean Buoy Communication Node Selection Strategy with Intelligent Ant Behavior. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_71
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