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EBCO - Efficient Boundary Detection and Tracking Continuous Objects in WSNs
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- Authors
- Sajjad Hussain Chauhdary, Jeongjoon Lee, Sayed Chhattan Shah, Myong-Soon Park
- Issue Date
- 2012-11
- Citation
- KSII Transactions on Internet and Information Systems, v.6, no.11, pp.2901-2919
- ISSN
- 1976-7277
- Publisher
- 한국인터넷정보학회
- Language
- English
- Type
- Journal Article
- Abstract
- Recent research in MEMS (Micro-Electro-Mechanical Systems) and wireless communication has enabled tracking of continuous objects, including fires, nuclear explosions and bio-chemical material diffusions. This paper proposes an energy-efficient scheme that detects and tracks different dynamic shapes of a continuous object (i.e., the inner and outer boundaries of a continuous object). EBCO (Efficient Boundary detection and tracking of Continuous Objects in WSNs) exploits the sensing capabilities of sensor nodes by automatically adjusting the sensing range to be either a boundary sensor node or not, instead of communicating to its neighboring sensor nodes because radio communication consumes more energy than adjusting the sensing range. The proposed scheme not only increases the tracking accuracy by choosing the bordering boundary sensor nodes on the phenomenon edge, but it also minimizes the power consumption by having little communication among sensor nodes. The simulation result shows that our proposed scheme minimizes the energy consumption and achieves more precise tracking results than existing approaches. © 2012 KSII.
- KSP Keywords
- Continuous Object, Detection and tracking, Efficient boundary, Existing Approaches, Micro-electro-mechanical system(MEMS), Power Consumption, Radio communication, Sensor node, boundary detection, energy consumption, energy-efficient