Particle Swarm Inspired Underwater Sensor Self-Deployment
Underwater sensor networks (UWSNs) can be applied in sea resource reconnaissance, pollution monitoring and assistant navigation, etc., and have become a hot research field in wireless sensor networks. In open and complicated underwater environments, targets (events) tend to be highly dynamic and unc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/8/15262 |
| _version_ | 1828348136427356160 |
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| author | Huazheng Du Na Xia Rong Zheng |
| author_facet | Huazheng Du Na Xia Rong Zheng |
| author_sort | Huazheng Du |
| collection | DOAJ |
| description | Underwater sensor networks (UWSNs) can be applied in sea resource reconnaissance, pollution monitoring and assistant navigation, etc., and have become a hot research field in wireless sensor networks. In open and complicated underwater environments, targets (events) tend to be highly dynamic and uncertain. It is important to deploy sensors to cover potential events in an optimal manner. In this paper, the underwater sensor deployment problem and its performance evaluation metrics are introduced. Furthermore, a particle swarm inspired sensor self-deployment algorithm is presented. By simulating the flying behavior of particles and introducing crowd control, the proposed algorithm can drive sensors to cover almost all the events, and make the distribution of sensors match that of events. Through extensive simulations, we demonstrate that it can solve the underwater sensor deployment problem effectively, with fast convergence rate, and amiable to distributed implementation. |
| first_indexed | 2024-04-14T00:50:05Z |
| format | Article |
| id | doaj.art-cee27d6734af4367ba4fccc1f09a24d4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T00:50:05Z |
| publishDate | 2014-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cee27d6734af4367ba4fccc1f09a24d42022-12-22T02:21:49ZengMDPI AGSensors1424-82202014-08-01148152621528110.3390/s140815262s140815262Particle Swarm Inspired Underwater Sensor Self-DeploymentHuazheng Du0Na Xia1Rong Zheng2School of Computer and Information, Hefei University of Technology, Hefei 230009, ChinaSchool of Computer and Information, Hefei University of Technology, Hefei 230009, ChinaDepartment of Computing and Software, McMaster University, Hamilton L8S4K1, CanadaUnderwater sensor networks (UWSNs) can be applied in sea resource reconnaissance, pollution monitoring and assistant navigation, etc., and have become a hot research field in wireless sensor networks. In open and complicated underwater environments, targets (events) tend to be highly dynamic and uncertain. It is important to deploy sensors to cover potential events in an optimal manner. In this paper, the underwater sensor deployment problem and its performance evaluation metrics are introduced. Furthermore, a particle swarm inspired sensor self-deployment algorithm is presented. By simulating the flying behavior of particles and introducing crowd control, the proposed algorithm can drive sensors to cover almost all the events, and make the distribution of sensors match that of events. Through extensive simulations, we demonstrate that it can solve the underwater sensor deployment problem effectively, with fast convergence rate, and amiable to distributed implementation.http://www.mdpi.com/1424-8220/14/8/15262underwater sensor networkssensor deploymentcoverage efficiencyparticle swarmcrowd factorwater flow field |
| spellingShingle | Huazheng Du Na Xia Rong Zheng Particle Swarm Inspired Underwater Sensor Self-Deployment Sensors underwater sensor networks sensor deployment coverage efficiency particle swarm crowd factor water flow field |
| title | Particle Swarm Inspired Underwater Sensor Self-Deployment |
| title_full | Particle Swarm Inspired Underwater Sensor Self-Deployment |
| title_fullStr | Particle Swarm Inspired Underwater Sensor Self-Deployment |
| title_full_unstemmed | Particle Swarm Inspired Underwater Sensor Self-Deployment |
| title_short | Particle Swarm Inspired Underwater Sensor Self-Deployment |
| title_sort | particle swarm inspired underwater sensor self deployment |
| topic | underwater sensor networks sensor deployment coverage efficiency particle swarm crowd factor water flow field |
| url | http://www.mdpi.com/1424-8220/14/8/15262 |
| work_keys_str_mv | AT huazhengdu particleswarminspiredunderwatersensorselfdeployment AT naxia particleswarminspiredunderwatersensorselfdeployment AT rongzheng particleswarminspiredunderwatersensorselfdeployment |