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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 920505, 9 pages
Research Article

An ACOA-AFSA Fusion Routing Algorithm for Underwater Wireless Sensor Network

1Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
2College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China

Received 10 October 2011; Revised 3 March 2012; Accepted 4 March 2012

Academic Editor: Sabah Mohammed

Copyright © 2012 Huafeng Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Due to intrinsic properties of aqueous environments, routing protocols for underwater wireless sensor network (UWSN) have to cope with many challenges such as long propagation delay, bad robustness, and high energy consumption. Basic ant colony optimization algorithm (ACOA) is an intelligent heuristic algorithm which has good robustness, distributed computing and combines with other algorithms easily. But its disadvantage is that it may converge at local solution, not global solution. Artificial fish swarm algorithm (AFSA) is one kind of intelligent algorithm that can converge at global solution set quickly but has lower precision in finding global solution. Therefore we can make use of AFSA and ACOA based on idea of complementary advantages. So ACOA-AFSA fusion routing algorithm is proposed which possesses advantages of AFSA and ACOA. As fusion algorithm has aforementioned virtues, it can reduce existing routing protocols’ transmission delay, energy consumption and improve routing protocols’ robustness theoretically. Finally we verify the feasibility and effectiveness of fusion algorithm through a series of simulations.