DocumentCode :
590391
Title :
A new approach of double-level grid-based target localization in wireless sensor networks
Author :
Daifei Wang ; Guoming Tang ; Yi Xie ; Weidong Xiao ; Zang Yuan ; Wei Zhang
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2012
fDate :
28-31 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Target localization is one of the most important and fundamental issues in wireless sensor networks (WSNs). Because of its special topology structure, grid-based wireless sensor networks have a great advantage in target localization. In this paper, firstly, we analyze the uncertain area founded by the topology structure of single-level grid-deployed networks. A double-level grid-based localization method is proposed, which is theoretical and practical. We consider the computational complexity of the algorithm and define its localization error in both single-level and double-level grid-deployed networks. Simulation results reveal the general rule between different factors and their influences on location accuracy, which is meaningful to the real application of our method. The results prove that double-level grid-based localization method can not only keep location precision to a certain extent, but is also real-time and practical.
Keywords :
computational complexity; telecommunication network topology; wireless sensor networks; WSN; computational complexity; double-level grid-based target localization method; double-level grid-deployed network; localization error; single-level grid-deployed network; special topology structure; uncertain area analysis; wireless sensor network; Complexity theory; Noise; Real-time systems; Sensors; Target tracking; Topology; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
ISSN :
1930-0395
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2012.6411121
Filename :
6411121
Link To Document :
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