Title :
Localization for hybrid sensor networks in unknown environments using received signal strength indicator
Author :
Zhuang, Wei ; Song, Guangming ; Tan, Jindong ; Song, Aiguo
Author_Institution :
Sch. of Instrum. Sci. & Eng., Southeast Univ., Nanjing
Abstract :
An algorithm of localization for hybrid sensor networks is proposed in this paper. It is designed to be used in the unknown indoor environments. Received signal strength indicator is used to evaluate the distance between mobile node and static nodes. Mobile node takes a random walk and emits signal packets including its positional information. The static nodes can improve its positional precision via running Bayesian filters. The proposed approach does not require any navigation equipments like GPS or IMU in the nodespsila hardware. The real experimental results show that the localization of static nodes is approximately accurate and the distribution of static nodespsila location become further precise after using Bayesian filters.
Keywords :
Bayes methods; distributed sensors; filtering theory; Bayesian filters; GPS; IMU; hybrid sensor network localization; mobile node; random walk; received signal strength indicator; static nodes; unknown indoor environments; Bayesian methods; Filters; Mobile robots; Monitoring; Multirobot systems; Navigation; Sensor phenomena and characterization; Sensor systems; Time difference of arrival; Wireless sensor networks; Bayesian filters; Hybrid sensor networks; Localization of sensor nodes; RSSI;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608064
