Cooperative Search and Rescue with Artificial Fishes Based on Fish-Swarm Algorithm for Underwater Wireless Sensor Networks
Joint Authors
Zhao, Wei
Tang, Zhenmin
Yang, Yuwang
Wang, Lei
Lan, Shaohua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhao, Wei& Tang, Zhenmin& Yang, Yuwang& Wang, Lei& Lan, Shaohua. 2014. Cooperative Search and Rescue with Artificial Fishes Based on Fish-Swarm Algorithm for Underwater Wireless Sensor Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048460
Modern Language Association (MLA)
Zhao, Wei…[et al.]. Cooperative Search and Rescue with Artificial Fishes Based on Fish-Swarm Algorithm for Underwater Wireless Sensor Networks. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1048460
American Medical Association (AMA)
Zhao, Wei& Tang, Zhenmin& Yang, Yuwang& Wang, Lei& Lan, Shaohua. Cooperative Search and Rescue with Artificial Fishes Based on Fish-Swarm Algorithm for Underwater Wireless Sensor Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048460
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048460