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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abidin, H.Z. Md Din, N. |
| Copyright Year | 2013 |
| Description | Author affiliation: Center for Commun. Service Convergence Technol., Univ. Tenaga Nasional, Kajang, Malaysia (Md Din, N.) || Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia (Abidin, H.Z.) |
| Abstract | Optimum sensor node placement for Wireless Sensor Network (WSN) is needed for cost effective deployment that provides maximum coverage and minimum energy consumption without jeopardizing the connectivity. A sensor node placement technique that utilizes a new biologically inspired optimization technique that imitates the behavior of territorial predators in marking their territories with their odours known as Territorial Predator Scent Marking Algorithm (TPSMA) is proposed in this paper. The TPSMA deployed in this paper uses the minimum uncovered area as the objective function. The performance of the proposed technique is then compared with other two sensor node placement schemes that are based on Integer Linear Programming (ILP) in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme outperforms the other two schemes with larger coverage ratio, full connectivity and lower energy consumption. |
| Sponsorship | IEEE Malaysia ComSoc/VTS Joint Chapt. |
| Starting Page | 13 |
| Ending Page | 17 |
| File Size | 149692 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479915323 |
| DOI | 10.1109/MICC.2013.6805791 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-26 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Conferences Linear programming Biology Coverage Sensor node placement Optimization Wireless sensor networks WSN Energy Connectivity Territorial Predator Scent Marking Algorithm Monitoring Biological inspired |
| Content Type | Text |
| Resource Type | Article |
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