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研究生:吳為勛
研究生(外文):Wei-shiun Wu
論文名稱:利用分群虛擬力佈建行動感測網路
論文名稱(外文):Deployment of Mobile Sensor Network using Clustered Virtual Force Method
指導教授:吳帆吳帆引用關係
指導教授(外文):Fan Wu
學位類別:碩士
校院名稱:國立中正大學
系所名稱:資訊管理所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:英文
論文頁數:57
中文關鍵詞:sensor deploymentMobile sensor networksvirtual forcecluster-based sensor networksdistributed robotic systems
外文關鍵詞:Mobile sensor networkssensor deploymentvirtual forcecluster-based sensor networksdistributed robotic systems
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This paper considers the problem of deploying a mobile sensor network in an unknown environment. A mobile sensor network is a distributed collection of nodes, each of which has sensing, computation, communication and locomotion capabilities. Previous work on mobile sensor deployment is based on a round by round process, where sensors move iteratively until the maximum coverage is reached. Although these solutions can deploy mobile sensors in a distributed way, the mobile sensors may move in a zig-zag way and waste a lot of energy compared to moving directly to the final location. We propose a clustered virtual force algorithm (CVFA) as an energy efficiency deployment strategy to enhance the coverage after an initial random placement of sensors. The virtual forces are constructed such that each node is attracted or repelled by other nodes, thereby forcing the network to spread itself throughout the environment. The approach is both distributed and scalable. The major concept of CVFA is to decrease unnecessary excessive movements through efficient communications. Because of the movement is much more expensive than communication and computation in terms of energy. In CVFA, more global information of k-hop neighbors can be acquired by the inter-cluster communications. Hence, mobile sensors can calculate their target locations, move logically, and update new logical locations through inter-cluster communications. Actual movement only occurs when sensors determine their final locations. Simulation results show that CVFA can significantly reduce the energy consumption compared to previous work, while maintaining similar coverage.
This paper considers the problem of deploying a mobile sensor network in an unknown environment. A mobile sensor network is a distributed collection of nodes, each of which has sensing, computation, communication and locomotion capabilities. Previous work on mobile sensor deployment is based on a round by round process, where sensors move iteratively until the maximum coverage is reached. Although these solutions can deploy mobile sensors in a distributed way, the mobile sensors may move in a zig-zag way and waste a lot of energy compared to moving directly to the final location. We propose a clustered virtual force algorithm (CVFA) as an energy efficiency deployment strategy to enhance the coverage after an initial random placement of sensors. The virtual forces are constructed such that each node is attracted or repelled by other nodes, thereby forcing the network to spread itself throughout the environment. The approach is both distributed and scalable. The major concept of CVFA is to decrease unnecessary excessive movements through efficient communications. Because of the movement is much more expensive than communication and computation in terms of energy. In CVFA, more global information of k-hop neighbors can be acquired by the inter-cluster communications. Hence, mobile sensors can calculate their target locations, move logically, and update new logical locations through inter-cluster communications. Actual movement only occurs when sensors determine their final locations. Simulation results show that CVFA can significantly reduce the energy consumption compared to previous work, while maintaining similar coverage.
1. INTRODUCTION 1
2. VIRTUAL FORCE APPROACH 5
3. CLUSTERED VIRTUAL FORCE ALGORITHM 9
3.1. CLUSTERING BY DENSITY 12
3.2. CLUSTERED DEPLOYMENT 18
3.2.1. The intra-cluster deployment phase 18
3.2.2. The inter-cluster deployment phase 24
3.2.3. One-time movement, Adjustment and Stabilization phase 28
4. PERFORMANCE EVALUATIONS 30
4.1. COVERAGE 31
4.1. MOVING DISTANCE 35
4.3. ENERGY CONSUMPTION 43
4.4. UNIFORMITY 45
5. CONCLUSION 47
REFERENCE 49
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