Title :
A Cluster-Based Localization Method Using RSSI for Heterogeneous Wireless Sensor Networks
Author :
Zhong, Chen ; Eliasson, Jens ; Mäkitaavola, Henrik ; Zhang, Fan
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Lulea Univ. of Technol., Lulea, Sweden
Abstract :
In this paper, we investigate the performance of cluster-based localization using received signal strength indicator (RSSI). The proposed solution is designed to meet the requirements of monitoring of firefighters or similar applications. The empirical relationship between signal strength and distance is determined using experiment data. One of the most popular localization algorithms found today, Min-Max, is used for our testbeds. Our solution is implemented in TinyOS and experimentally evaluated on a Mulle v5.2 IEEE 802.15.4 platform. The aim of our research is to develop a heterogeneous wireless sensor network consisting of inter connected body area networks, or clusters. Using localization, the network´s robustness and reliability, as well as the safety of its users, can be improved.
Keywords :
body area networks; minimax techniques; telecommunication standards; wireless sensor networks; Mulle v5.2 IEEE 802.15.4 platform; RSSI; TinyOS; cluster-based localization method; heterogeneous wireless sensor networks; inter connected body area networks; localization algorithms; min-max; network reliability; network robustness; received signal strength indicator; Antennas; Estimation error; Logic gates; Measurement uncertainty; Mobile handsets; Monitoring; Wireless sensor networks;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5601356
