title: Cooperative search and rescue with artificial fishes based on fish-swarm algorithm for underwater wireless sensor networks.
abstract: This paper presents a searching control approach for cooperating mobile sensor networks. We use a density function to represent the frequency of distress signals issued by victims. The mobile nodes' moving in mission space is similar to the behaviors of fish-swarm in water. So, we take the mobile node as artificial fish node and define its operations by a probabilistic model over a limited range. A fish-swarm based algorithm is designed requiring local information at each fish node and maximizing the joint detection probabilities of distress signals. Optimization of formation is also considered for the searching control approach and is optimized by fish-swarm algorithm. Simulation results include two schemes: preset route and random walks, and it is showed that the control scheme has adaptive and effective properties.
authors.affiliation: Computer Department, Nanjing University of Science and Technology, Jiangsu 210094, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Zhao
authors.affiliation: Computer Department, Nanjing University of Science and Technology, Jiangsu 210094, China.
authors.forename: Zhenmin
authors.initials: Z
authors.lastname: Tang
authors.affiliation: Computer Department, Nanjing University of Science and Technology, Jiangsu 210094, China.
authors.forename: Yuwang
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Computer Department, Nanjing University of Science and Technology, Jiangsu 210094, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.affiliation: Computer Department, Nanjing University of Science and Technology, Jiangsu 210094, China.
authors.forename: Shaohua
authors.initials: S
authors.lastname: Lan
mesh_terms: D000818:Animals; D005399:Fishes; D008962:Models, Theoretical; D011336:Probability; D059015:Wireless Technology