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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kanno, J. Buchart, J.G. Selmic, R.R. Phoha, V. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Mathematics and Statistics, Louisiana Tech University, Ruston, LA 71272, USA (Kanno, J.) || Computer Science Department, Louisiana Tech University, USA (Selmic, R.R.) || Electrical Engineering Department, Louisiana Tech University, Ruston, LA 71272 USA (Buchart, J.G.) |
| Abstract | Wireless sensor network coverage completeness is an important Quality of Service measure. It is frequently assumed that events occurring in the sensor field will always be detected. However, this is not necessary the case, particularly if there are holes in the sensor network coverage. This paper introduces a novel method for detection and relative localization of sensor network coverage holes in coordinate-free networks assuming availability of a network communication graph. We identify sensor nodes that bound coverage holes, called “hole boundary nodes”, by processing information embedded in a communication graph, which is non-planar in general. We create a hole-equivalent planar graph preserving a number and position of holes. Finally, we build a planar simplicial complex, called maximal simplicial complex, which contains the information regarding coverage holes. The proposed method is applicable for both coordinate-available and coordinate-free networks. Two implementation strategies for hole detection are provided, and they are each analyzed to compare runtime and accuracy. Simulation results show effectiveness of the hole detection algorithms. |
| Starting Page | 452 |
| Ending Page | 457 |
| File Size | 523381 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424446841 |
| DOI | 10.1109/MED.2009.5164583 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-24 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Energy consumption Gunshot detection systems Automation Quality of service Acoustic sensors Automatic control Acoustic signal detection Monitoring Lifting equipment |
| Content Type | Text |
| Resource Type | Article |
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