Abstract
Positioning is a fundamental issue for wireless sensor network operation. Despite the recent proposals for the development of localization algorithms, the probabilistic behavior in position estimation using inaccurate measurements has not been analyzed. The paper focuses on two theoretical problems of localization from the viewpoint of probability analysis. First, it was proved that the position error in positioning is distributed by the χ 2. Secondly, we demonstrated that the sensor connectivity distribution converges to the Poisson. Experiments of connectivity distribution were performed, and some conclusions were given to conduct a sensor network deployment.
This project is partially supported by the Opening Foundation of State Key Laboratory for Novel Software Technology in Nanjing University, the Natural Science Foundation of Anhui Province of China (050420212) and the Excellent Youth Science and Technology Foundation of Anhui Province of China (04042069).
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Cui, XX., Zhao, Z., Tao, Q. (2005). Probabilistic Behavior of Sensor Network Localization. In: Chen, G., Pan, Y., Guo, M., Lu, J. (eds) Parallel and Distributed Processing and Applications - ISPA 2005 Workshops. ISPA 2005. Lecture Notes in Computer Science, vol 3759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576259_49
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DOI: https://doi.org/10.1007/11576259_49
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