ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
An Analysis of Error Inducing Parameters in Multihop Sensor Node Localization
IEEE Transactions on Mobile Computing
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Survey on Wireless Position Estimation
Wireless Personal Communications: An International Journal
International Journal of Sensor Networks
Achievable error bounds on localization with wireless sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
On the optimal performance of collaborative position location
IEEE Transactions on Wireless Communications
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A large number of localization algorithms for wireless sensor networks (WSNs) are evaluated against the Cramer-Rao Bound (CRB) as an indicator of how good the algorithm performs. The CRB defines the lower bound on the precision of an unbiased localization estimator. The CRB concept, borrowed from GPS localization, however, does not translate well to WSNs. In this paper, we show in which cases the CRB fails to capture troublesome anchor configurations leading to erroneous lower bounds. We continue with a study on the geometrical configurations of anchors favorable to localization algorithms. We conclude by proposing a metric to characterize the stability of the geometry of a certain anchor topology. Future work will address the combination of geometry and statistical metrics with the goal of obtaining a clear image on localization algorithms boundaries.