DocumentCode
3383913
Title
Collaborative localization algorithm for wireless sensor networks using mobile anchors
Author
Zhang, Zusheng ; Fengqi Yu ; Zusheng Zhang
Author_Institution
Dept. of Integrated Electron., CAS, Shenzhen, China
Volume
1
fYear
2009
fDate
28-29 Nov. 2009
Firstpage
309
Lastpage
312
Abstract
Wireless sensor networks (WSNs) are a large ad hoc networks of distributed sensors that are equipped with low power supply modules. Location information is a basic requirement for many WSNs applications. Because localization accuracy is sufficient for many sensor network applications, range free localization schemes based on RSSI technique are being pursed as a cost effective and convenient alternative. In this paper, based on RSSI technique, we present a novel collaborative localization algorithm for wireless sensor networks using a group of mobile anchor nodes (GMAN). A sensor node estimates its location by receiving beacon messages from a GMAN. A GMAN is usually composed of three identical anchor nodes and their relative locations remain constant. The GMAN is equipped with a GPS and moves around in the sensor area and periodically broadcasts beacon messages. Sensor nodes take selected positions on the trajectory of the GMAN as beacon points. Simulation results show that our proposed localization scheme outperforms the other mobile-anchor-node based schemes in accuracy when irregular radio pattern and random node placement are considered.
Keywords
mobility management (mobile radio); wireless sensor networks; RSSI technique; WSN; beacon messages; collaborative localization algorithm; group of mobile anchor nodes; location information; sensor node; wireless sensor networks; Collaboration; Computational intelligence; Computer industry; Content addressable storage; Costs; Electronics industry; Global Positioning System; Industrial electronics; Mobile computing; Wireless sensor networks; Collaborative; Localization; Mobile anchor node; Wireless sensor networks (WSNs);
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4606-3
Type
conf
DOI
10.1109/PACIIA.2009.5406429
Filename
5406429
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