Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm
This paper explores the possibility of enhancing consensus achievement of decentralized sensors by establishing cooperative behavior between sensor agents. To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/950683 |
| _version_ | 1797708958253711360 |
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| author | Hyunseok Kim Seongju Chang Jinsul Kim |
| author_facet | Hyunseok Kim Seongju Chang Jinsul Kim |
| author_sort | Hyunseok Kim |
| collection | DOAJ |
| description | This paper explores the possibility of enhancing consensus achievement of decentralized sensors by establishing cooperative behavior between sensor agents. To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. Noteworthy enhancements in consensus achievement are also pertinent to the comparable situation of decentralized sensor systems. |
| first_indexed | 2024-03-12T06:30:20Z |
| format | Article |
| id | doaj.art-afb4fabba99b4648a731442e03e7f92f |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:30:20Z |
| publishDate | 2014-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-afb4fabba99b4648a731442e03e7f92f2023-09-03T01:41:01ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/950683950683Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization AlgorithmHyunseok Kim0Seongju Chang1Jinsul Kim2 IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 305-700, Republic of Korea Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea School of Electronics and Computer Engineering, Chonnam National University, Gwangju 500-757, Republic of KoreaThis paper explores the possibility of enhancing consensus achievement of decentralized sensors by establishing cooperative behavior between sensor agents. To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. Noteworthy enhancements in consensus achievement are also pertinent to the comparable situation of decentralized sensor systems.https://doi.org/10.1155/2014/950683 |
| spellingShingle | Hyunseok Kim Seongju Chang Jinsul Kim Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm International Journal of Distributed Sensor Networks |
| title | Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm |
| title_full | Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm |
| title_fullStr | Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm |
| title_full_unstemmed | Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm |
| title_short | Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm |
| title_sort | consensus achievement of decentralized sensors using adapted particle swarm optimization algorithm |
| url | https://doi.org/10.1155/2014/950683 |
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