A directionality based location discovery scheme for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
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
GPS-Free Positioning in Mobile ad-hoc Networks
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
The limits of localization using RSS
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A localization strategy based on n-times trilateral centroid with weight
International Journal of Communication Systems
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In recent years, there has been a growing interest in wireless sensor networks(WSNs) applications. Localization in wireless sensor networks gets more and more important. Weighted centroid localization provides a fast and easy algorithm to locate devices in WSNs. The algorithm is derived from a centroid determination which calculates the position of devices by averaging the coordinates of neighbour anchors. After analyzing the radio propagation route loss model, the most appropriate Log-distance distribution model is selected to simulate the propagation of RSSI signals. Based on the centroid algorithm and the weighted centroid algorithm, an ellipse-centroid localization algorithm is proposed in this paper. The algorithm using the features of the ellipse to estimate the unknown node' s coordinate. The main idea of the ellipse-centroid algorithm is the defining of the precision control factor(PCF), which can control the algorithm's localization precision. In the ellipse-centroid algorithm, the located nodes are promoted to be anchors in order to enhance the anchor density dynamicly. The simulation results demonstrate that the ellipse-centroid algorithm is more efficient in precision than the centroid algorithm and weighted centroid algorithm.