Abstract | ||
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The emergence and existence of coverage holes in WSNs will dramatically degrade the network coverage performance and quality of service. To diminish the negative effects of coverage holes, this paper studies the confident information coverage hole detection problem(CICHD) based on the proposed novel confident information coverage model(CIC). For solving the CICHD problem, we design an effective heuristic CIC hole detection algorithm. In the proposed algorithm, the sensing field is firstly partitioned into a series of reconstruction grids based on the spatial correlation and correlation range. Then each reconstruction grid will be scanned and detected based on the CIC model to be judged whether it is a coverage hole or not. After obtaining the coverage status of each reconstruction grid, the coverage hole boundary will be extracted by image processing method. Simulation results show that the proposed scheme can efficiently detect the emerged coverage holes including the locations and the number. |
Year | DOI | Venue |
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2016 | 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.57 | 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) |
Keywords | Field | DocType |
Confident Information Coverage,Coverage Hole Detection,Wireless Sensor Networks | Information coverage,Iterative reconstruction,Data mining,Heuristic,Spatial correlation,Computer science,Image processing,Algorithm,Quality of service,Wireless sensor network,Grid | Conference |
ISBN | Citations | PageRank |
978-1-5090-5881-5 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zenghui Zou | 1 | 8 | 1.19 |
Xianjun Deng | 2 | 127 | 15.27 |
Lingzhi Yi | 3 | 4 | 3.92 |
Zujun Tang | 4 | 9 | 0.80 |
Minghua Wang | 5 | 64 | 15.40 |
Xueyu Gong | 6 | 0 | 0.34 |