Self-map building in wireless sensor network based on TDOA measurements

Liu, S., Tang, Y., Zhang, C. and Yue, S. (2012) Self-map building in wireless sensor network based on TDOA measurements. In: IASTED International Conference on Artificial Intelligence and Soft Computing, 7 - 9 September 2009, Hamburg.

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Node localization has long been established as a key problem in the sensor networks. Self-mapping in wireless sensor network which enables beacon-based systems to build a node map on-the-fly extends the range of the sensor network's applications. A variety of self-mapping algorithms have been developed for the sensor networks. Some algorithms assume no information and estimate only the relative location of the sensor nodes. In this paper, we assume a very small percentage of the sensor nodes aware of their own locations, so the proposed algorithm estimates other node's absolute location using the distance differences. In particular, time difference of arrival (TDOA) technology is adopted to obtain the distance difference. The obtained time difference accuracy is 10ns which corresponds to a distance difference error of 3m. We evaluate self-mapping's accuracy with a small number of seed nodes. Overall, the accuracy and the coverage are shown to be comparable to those achieved results with other technologies and algorithms. © 2012 IEEE.

Additional Information:Conference Code:94291
Keywords:Distance-difference, Node localization, On-the-fly, Relative location, Time difference of arrival, Time-differences, Algorithms, Conformal mapping, Intelligent systems, Sensor nodes
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:10769
Deposited On:22 Jan 2014 11:44

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