Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems
Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems
Distributed particle filters for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Semidefinite programming based algorithms for sensor network localization
ACM Transactions on Sensor Networks (TOSN)
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Synchronous DS-CDMA downlink with frequency selective fading
IEEE Transactions on Signal Processing
Nonparametric belief propagation for self-localization of sensor networks
IEEE Journal on Selected Areas in Communications
Performance analysis of relative location estimation for multihop wireless sensor networks
IEEE Journal on Selected Areas in Communications
Efficient weighted multidimensional scaling for wireless sensor network localization
IEEE Transactions on Signal Processing
On the optimal performance of collaborative position location
IEEE Transactions on Wireless Communications
Accurate sequential self-localization of sensor nodes in closed-form
Signal Processing
International Journal of Communication Systems
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Estimating the positions of sensor nodes is a fundamental and crucial problem in wireless sensor networks. In this paper, three novel subspace methods for node localization in a fully connected network are devised with the use of range measurements. Biases and mean square errors of the sensor node position estimates are also derived. Computer simulations are included to contrast the performance of the proposed algorithms with the conventional subspace positioning method, namely, classical multidimensional scaling, as well as Cramér-Rao lower bound.