Recursive Successive Over-Relaxation Algorithm for Adaptive Filtering
94-99
34.Cnf-227 Paper View Page
Title
Speed and Direction Prediction-based Localization for Wireless Sensor Networks
Authors
Ms. Imane Benkhelifa, Université des Sciences et de la Technologie Houari Boumediene, Algiers, Algeria Dr. Samira Moussaoui, Université des Sciences et de la Technologie Houari Boumediene, Algiers, Algeria
Abstract
Many low-cost localization techniques have been proposed for wireless sensor networks. However, few consider the mobility of networked sensors. In this paper, we propose an effective and practical localization technique especially designed for mobile sensor networks called Speed and direction Prediction-based Localization. It uses a single mobile anchor travelling with a predefined trajectory while periodically broadcasts its current location coordinates to the nearby sensors. We concentrate on improving the localization accuracy and efficiency by making better use of the information a sensor node gathers. Using previous location information, the node predicts its speed and direction to move the estimated position closer to its real position.
The evaluation of our solution shows that our technique copes with prediction and anchor trajectory in a more effective manner than previous solutions. The simulation results show that our algorithm outperforms conventional Monte Carlo localization schemes by decreasing estimation errors by up to 56%.
5th Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2012)
Congress
2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012), 12-14 October 2012, Istanbul, Turkey
Pages
1-6
Topics
Network Protocols and Standards Mobility Modeling and Management
ISSN
2227-331X
DOI
BibTeX
@inproceedings{227CCA2012,
title={Speed and Direction Prediction-based Localization for Wireless Sensor Networks},
author={Imane Benkhelifa, and Samira Moussaoui},
booktitle={2012 Global Congress on Communications, Computers and Applications (GC-CCA 2012)},
year={2012},
pages={1-6},
doi={}},
organization={Mosharaka for Research and Studies}
}
