The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
IEEE Communications Magazine
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Sensor networks is an Ad-Hoc network consist of large amount of sensors. These sensors are distributed in a huge area. Each of the small, cheap, intelligent sensors has processor, memory and wireless transmission ability. These sensors collect or monitor the surroundings in real-time and process these data to obtain the detailed and accurate information from their covered area. Information from sensors must be combined with its location to make sense, so the location of sensors is very important in sensor network applications. Localization of sensors becomes one of the key techniques in sensor networks. A power-efficient localization algorithm is proposed in this paper. It uses few anchors(the sensors whose location is known) to implement the localization of other nodes without special devices such as GPS. This algorithm not only has the lower time cost and communication cost, but also needs only a few anchor nodes whose distribution is independent. Experimental results and analysis show that the localization algorithm proposed in this paper has higher accuracy, lower power cost and better expansibility. It is very suitable for large scale sensor networks.