The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Precise Distributed Localization Algorithms for Wireless Networks
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
A Selective Anchor Node Localization Algorithm for Wireless Sensor Networks
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
An RSS Localization Method Based on Parametric Channel Models
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
IEEE Transactions on Mobile Computing
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A Novel Weighted Multidimensional Scaling Analysis for Time-of-Arrival-Based Mobile Location
IEEE Transactions on Signal Processing - Part I
Nuisance Parameters and Location Accuracy in Log-Normal Fading Models
IEEE Transactions on Wireless Communications
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
Sensor Localization under Limited Measurement Capabilities
IEEE Network: The Magazine of Global Internetworking
International Journal of Sensor Networks
| Hi-index | 0.00 |
A great deal of research achievements on localization in wireless sensor networks (WSNs) has been obtained in recent years. Nevertheless, its interesting challenges in terms of cost-reduction, accuracy improvement, scalability, and distributed ability design have led to the development of a new algorithm, the Push-pull Estimation (PPE). In this algorithm, the differences between measurements and current calculated distances are modeled into forces, dragging the nodes close to their actual positions. Based on very few known-location sensors or beacons, PPE can pervasively estimate the coordinates of many unknown-location sensors. Each unknown-location sensor, with given pair-wise distances, could independently estimate its own position through remarkably uncomplicated calculations. Characteristics of the algorithm are examined through analyses and simulations to demonstrate that it has advantages over those of previous works in dealing with the above challenges.