A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks
碩士 === 國立雲林科技大學 === 電機工程系 === 103 === The target coverage problem in wireless sensor networks has been proven to be an NP-complete problem. As a problem has been proven to be NP-complete, it is important and practical to design its heuristic algorithms. Actually, several heuristic algorithms have be...
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ndltd-TW-103YUNT04410872016-07-02T04:28:42Z http://ndltd.ncl.edu.tw/handle/98770043286267646613 A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks 一個可求解無線感測器網路中目標覆蓋問題之模擬退火演算法 Rong-Chin Tsai 蔡榮欽 碩士 國立雲林科技大學 電機工程系 103 The target coverage problem in wireless sensor networks has been proven to be an NP-complete problem. As a problem has been proven to be NP-complete, it is important and practical to design its heuristic algorithms. Actually, several heuristic algorithms have been proposed for the target coverage problem. Because the wireless sensor networks are more and more widely applied, the allocations of targets and sensors may be a randomly distribution or a checkerboard distribution. In this thesis, we discover that the existing heuristic algorithms cannot produce long network lifetime simultaneously at these two distributions. Simulated annealing has been used to solve some NP-complete problems in wireless networks. In this thesis, based on simulated annealing, we design an efficient heuristic algorithm for the target coverage problem in wireless sensor networks. Computer simulation results show that compared with other algorithms, our simulated annealing algorithm may generate longer network lifetime whether the targets and sensors are allocated in a randomly distribution or in a checkerboard distribution. Keywords: network lifetime, simulated annealing, target coverage problem, wireless sensor network. Pi-Rong Sheu 許丕榮 2015 學位論文 ; thesis 64 zh-TW |
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碩士 === 國立雲林科技大學 === 電機工程系 === 103 === The target coverage problem in wireless sensor networks has been proven to be an NP-complete problem. As a problem has been proven to be NP-complete, it is important and practical to design its heuristic algorithms. Actually, several heuristic algorithms have been proposed for the target coverage problem. Because the wireless sensor networks are more and more widely applied, the allocations of targets and sensors may be a randomly distribution or a checkerboard distribution. In this thesis, we discover that the existing heuristic algorithms cannot produce long network lifetime simultaneously at these two distributions. Simulated annealing has been used to solve some NP-complete problems in wireless networks. In this thesis, based on simulated annealing, we design an efficient heuristic algorithm for the target coverage problem in wireless sensor networks. Computer simulation results show that compared with other algorithms, our simulated annealing algorithm may generate longer network lifetime whether the targets and sensors are allocated in a randomly distribution or in a checkerboard distribution.
Keywords: network lifetime, simulated annealing, target coverage problem, wireless
sensor network.
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author2 |
Pi-Rong Sheu |
author_facet |
Pi-Rong Sheu Rong-Chin Tsai 蔡榮欽 |
author |
Rong-Chin Tsai 蔡榮欽 |
spellingShingle |
Rong-Chin Tsai 蔡榮欽 A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks |
author_sort |
Rong-Chin Tsai |
title |
A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks |
title_short |
A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks |
title_full |
A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks |
title_fullStr |
A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks |
title_full_unstemmed |
A Simulated Annealing Algorithm for the Target Coverage Problem in Wireless Sensor Networks |
title_sort |
simulated annealing algorithm for the target coverage problem in wireless sensor networks |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/98770043286267646613 |
work_keys_str_mv |
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