Name
Abstract | ||
|---|---|---|
The usage of wireless sensor networks (WSNs) to monitor a region is an important functionality in defense and security applications. In these applications, a fundamental issue is to determine the minimum degree of coverage in the concerned region. The past researches focus on the binary disk sensing model, where sensors are assumed to be accurate in detecting targets within their sensing ranges. In this paper, we investigate the coverage problem under a more realistic model, the probabilistic sensing model, in which the probability of detection by a sensor decays with the distances. We generalize the coverage problem to the probabilistic sensing model and propose an algorithm to calculate the minimum degree of coverage. The accuracy of the proposed algorithm is verified via simulations. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/WCNC.2012.6214064 | WCNC |
Keywords | Field | DocType |
minimum degree of coverage,wsn,security applications,detection probability,probabilistic sensing model,sensing ranges,defense applications,wireless sensor network,sensor decays,binary disk sensing model,generalized k-coverage,target detection,wireless sensor networks,probability,approximation algorithms,sensor network,sensors,probabilistic logic,probability of detection,upper bound | Approximation algorithm,Upper and lower bounds,Computer science,Real-time computing,Probabilistic logic,Wireless sensor network,Statistical power,Binary number | Conference |
ISSN | ISBN | Citations |
1525-3511 | 978-1-4673-0436-8 | 4 |
PageRank | References | Authors |
0.47 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hung-Lung Wang | 1 | 27 | 5.63 |
| Wei-Ho Chung | 2 | 517 | 68.70 |