Area coverage enhancement schemes in directional sensor networks
Source: International Journal of Internet Protocol Technology, Volume 6, Number 4, June 2011 , pp. 200-209(10)
Publisher: Inderscience Publishers
Abstract:Adequate coverage is very important for sensor networks to fulfil the issued sensing tasks. In traditional sensor networks, the sensors are based on omni-sensing model. However, directional sensing sensors are with great application chances, typically in video sensor networks. Toward this end, this paper discusses the problem of enhancing coverage in a directional sensor network. First, based on a rotatable directional sensing model, we describe a method to rotate the sensing direction of each sensor improve the coverage rate for a given deployment. Moreover, the concept of priority is introduced to model the importance of rotating sequence of sensors. According to the characteristic of adjustable sensing directions of directional sensors, we study the area coverage enhancing problem and propose two coverage-enhancing algorithms to maximise the sensing area of directional sensors only with local topology information. Extensive simulation is conducted to verify the effectiveness of our solutions and detailed discussions are also given on the performance compared with previous approach.
Document Type: Research Article
Affiliations: 1: Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, 30012, Taiwan. 2: Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, 30012, Taiwan
Publication date: 2011-06-01
- International Journal of Internet Protocol Technology publishes high quality research papers produced by academics, engineers and invited guests on a variety of topics related to Internet Protocol Technology. The papers selected for publication in the journal are subjected to an extensive review process based on extensively reviewed by both internal and external referees. The journal also welcomes outside comments, criticisms, and interesting replications of published work.
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