Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Location errors in wireless embedded sensor networks: sources, models, and effects on applications
ACM SIGMOBILE Mobile Computing and Communications Review
Recursive Position Estimation in Sensor Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Improving APS with Anchor Selection in Anisotropic Sensor Networks
ICAS-ICNS '05 Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services
Robust distributed node localization with error management
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
A Beacon Selection Algorithm for Bounded Error Location Estimation in Ad Hoc Networks
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Ordinal MDS-based localisation for wireless sensor networks
International Journal of Sensor Networks
An Algorithm for Distributed Beacon Selection
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Attack-Resistant Location Estimation in Wireless Sensor Networks
ACM Transactions on Information and System Security (TISSEC)
An Interlaced Extended Kalman Filter for sensor networks localisation
International Journal of Sensor Networks
Paired Measurement Localization: A Robust Approach for Wireless Localization
IEEE Transactions on Mobile Computing
International Journal of Sensor Networks
Exploiting low complexity motion for ad-hoc localisation
International Journal of Sensor Networks
Calibration mechanism for RSS based localization method in wireless sensor networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
A Distributed Node Localization Scheme for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Distributed wireless sensor network localization via sequential greedy optimization algorithm
IEEE Transactions on Signal Processing
Distributed Push-pull Estimation for node localization in wireless sensor networks
Journal of Parallel and Distributed Computing
RF angle of arrival-based node localisation
International Journal of Sensor Networks
An efficient centralized localization method in wireless sensor networks
EUNICE'11 Proceedings of the 17th international conference on Energy-aware communications
A Distributed Node Localization Algorithm for Wireless Sensor Network Based on MDS and SDP
ICCSEE '12 Proceedings of the 2012 International Conference on Computer Science and Electronics Engineering - Volume 01
Secure positioning in wireless networks
IEEE Journal on Selected Areas in Communications
International Journal of Sensor Networks
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Determining the location of nodes is a key part of wireless sensor networks WSNs. Many WSN applications require knowledge of nodes' locations to perform their functions successfully. Several localisation algorithms rely on using all or most of the available references to enhance their performance. However, to implement an efficient localisation algorithm for WSNs one should reconsider this assumption. This paper introduces an efficient localisation algorithm that is based on a novel smart reference-selection method. This method chooses only those references that would increase the overall localisation accuracy, and it also minimises the number of iterations needed to refine the accuracy of the estimated position. Simulation results confirm that, compared to existing approaches, the proposed reference selection technique and associated localisation algorithm achieves both reliable and accurate position estimate using a minimal number of references. This decreases the computational burden of gathering and analysing location data from the high number of references previously believed to be necessary.