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

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WICOM.2010.5601356

Filename

5601356