The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Error characteristics of ad hoc positioning systems (aps)
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
International Journal of Sensor Networks
Location verification using bidirectional one-way hash function in wireless sensor networks
International Journal of Sensor Networks
Ordinal MDS-based localisation for wireless sensor networks
International Journal of Sensor Networks
Optimisations for LocSens – an indoor location tracking system using wireless sensors
International Journal of Sensor Networks
RF angle of arrival-based node localisation
International Journal of Sensor Networks
IEEE Communications Magazine
Error analysis of range-based localisation algorithms in wireless sensor networks
International Journal of Sensor Networks
International Journal of Sensor Networks
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In wireless sensor networks WSNs, location information is regarded as essential information to achieve intelligent monitoring and control. Recently, a large number of range-based localisation algorithms were proposed. Nearly, all of the algorithms are based on least square method, in which the sum of all ranging error is treated as the performance index. The disadvantage is ignoring the probability characteristics of ranging error. This paper aims to integrate the ranging characteristic to improve the localisation accuracy. First, introducing a probability factor represents the credibility of distance measurement. Then, the probability factor is integrated into the optimised performance index, and the location of unknown sensor node are estimated and calculated. In addition, the method of determining the probability factor of the ranging information is also provided. Finally, we have performed many simulations to validate the performance of the localisation algorithms proposed. Experimental results show that the localisation accuracy is improved.