DocumentCode :
1902312
Title :
Sub-optimal Step-by-Step Node Deployment Algorithm for User Localization in Wireless Sensor Networks
Author :
Tsai, Yuh-Ren ; Tsai, Yuan-Jiun
Author_Institution :
Inst. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
114
Lastpage :
121
Abstract :
User/object localization is one of the promising applications for WSNs. So far, there is no flexible node deployment algorithm targeting on optimizing the localization performance. To facilitate node deployment for localization applications in WSNs, we propose, based on a universal performance evaluation metric, a low-complexity, step-by-step node deployment algorithm which provides sub-optimal solutions feasible for large-scale WSNs. This proposed node deployment algorithm has the computational complexity linearly proportional to the number of available nodes, and is flexible for different system scenarios, including the cases with a non-homogeneous user distribution and with an irregular sensing area. The performance of our proposed algorithm is compared with some other available benchmarks. It is found that the proposed deployment algorithm can provide flexible network topologies with very good location estimation performance.
Keywords :
computational complexity; telecommunication network topology; wireless sensor networks; WSN; computational complexity; network topology; object localization; suboptimal step-by-step node deployment algorithm; universal performance evaluation metric; user localization; wireless sensor networks; Area measurement; Computational complexity; Computer networks; Costs; Hardware; Large-scale systems; Network topology; Pervasive computing; Surveillance; Wireless sensor networks; Wireless sensor network (WSN); deployment; localization; received signal strength;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-0-7695-3158-8
Electronic_ISBN :
978-0-7695-3158-8
Type :
conf
DOI :
10.1109/SUTC.2008.33
Filename :
4545747
Link To Document :
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