Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Multiple-Access Insights from Bounds on Sensor Localization
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Methods of Sensors Localization in Wireless Sensor Networks
ECBS '07 Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems
Quality of Trilateration: Confidence Based Iterative Localization
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Location error estimation in wireless ad hoc networks
Ad Hoc Networks
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This paper compares methods of localization in order to try and reduce the processing overhead of optimal multi-lateration whilst still achieving close to its accuracy. Three methods of localization are examined, firstly optimal multilateration (OML), which provides the benchmark in terms of accuracy achievable. Secondly sub-optimal blind trilateration (SBT) which randomly selects the minimum feasible number of anchors. This defines the lower processing limit. Thirdly we compare these with modified sub-optimal blind trilateration (MSBT) which selects anchor nodes based on geometric dilution of precision (GDOP). Our analysis and results show that this method of anchor selection requires considerable additional processing but does provide good localization performance.