A self-localization method for wireless sensor networks

被引:155
作者
Moses, RL [1 ]
Krishnamurthy, D [1 ]
Patterson, RM [1 ]
机构
[1] Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA
关键词
sensor networks; localization; location uncertainty; Cramer-Rao bound;
D O I
10.1155/S1110865703212063
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider the problem of locating and orienting a network of unattended sensor nodes that have been deployed in a scene at unknown locations and orientation angles. This self-calibration problem is solved by placing a number of source signals, also with unknown locations, in the scene. Each source in turn emits a calibration signal, and a subset of sensor nodes in the network measures the time of arrival and direction of arrival (with respect to the sensor node's local orientation coordinates) of the signal emitted from that source. From these measurements we compute the sensor node locations and orientations, along with any unknown source locations and emission times. We develop necessary conditions for solving the self-calibration problem and provide a maximum likelihood solution and corresponding location error estimate. We also compute the Cramer-Rao bound of the sensor node location and orientation estimates, which provides a lower bound on calibration accuracy. Results using both synthetic data and field measurements are presented.
引用
收藏
页码:348 / 358
页数:11
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