Title :
Localization Algorithm Based on Sector Scan for Mobile Wireless Sensor Networks
Author :
Tan Shun-hua ; Chen Miao ; Tang Tao
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
Abstract :
Localization is crucial to many applications in wireless sensor networks (WSN). In some applications, all nodes are constantly moving in the network. The current algorithms do not be good for address the problem of enabling nodes in mobile wireless sensor networks (MWSN) to determine their localization. To solve this problem, a new range-free localization algorithm based on the idea of sector scan for MWSN is proposed. By using sector scan and RSSI, this algorithm minimizes the overlapping areas determining the localization of the unknown nodes. To do so, the localization accuracy can be improved. The simulation shows that SSRML algorithm can obviously improve the localization accuracy compared to Convex and MCL, and the error of the SSRML is lower than 10%.
Keywords :
mobile radio; wireless sensor networks; RSSI; SSRML algorithm; mobile wireless sensor networks; range-free localization algorithm; sector scan algorithm; Costs; Energy consumption; Global Positioning System; Intelligent networks; Intelligent robots; Intelligent sensors; Mobile robots; Monitoring; Robot sensing systems; Wireless sensor networks;
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
DOI :
10.1109/ICBECS.2010.5462413