The modified iterative algorithm for localization in sensor networks

Low-cost and accurate sensor localization estimation is an imperious requirement for the deployment of wireless sensor networks (WSNs) in a wide variety of applications. Multidimensional Scaling (MDS), one class of localization technique has been applied to location estimation and topology discovery...

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Bibliographic Details
Published in:2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT) pp. 57 - 61
Main Author: Jiang, Bin
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2016
Subjects:
Accuracy
Biomedical measurement
Estimation
Location awareness
Location Estimation
Mathematical models
Measurement
Modified Iterative Scheme
Multidimensional Scaling
Network topology
Topology
Topology Discovery
Wireless Sensor Network
Wireless sensor networks
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Summary:Low-cost and accurate sensor localization estimation is an imperious requirement for the deployment of wireless sensor networks (WSNs) in a wide variety of applications. Multidimensional Scaling (MDS), one class of localization technique has been applied to location estimation and topology discovery. In case of large measurement errors, using Iterative Multidimensional Scaling (IT-MDS) can't get enough accurate relative position estimates of nodes. In this paper, we devise a modified iterative scheme for sensor location estimation. Then we propose several MDS algorithms and compare their effects on the accuracy of localization with our algorithm. Simulation experiments show the results of modified Iterative Multidimensional Scaling algorithm are more precise than others at the same condition.
DOI:10.1109/ICEICT.2016.7879652