Mobile Information Systems

Mobile Information Systems / 2009 / Article
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Advances in Mobile Communications and Computing

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Volume 5 |Article ID 802413 | https://doi.org/10.1155/2009/802413

Suman Kumar, Seung-Jong Park, "Probability Model for Data Redundancy Detection in Sensor Networks", Mobile Information Systems, vol. 5, Article ID 802413, 10 pages, 2009. https://doi.org/10.1155/2009/802413

Probability Model for Data Redundancy Detection in Sensor Networks

Received29 Apr 2009
Accepted29 Apr 2009

Abstract

Sensor networks are made of autonomous devices that are able to collect, store, process and share data with other devices. Large sensor networks are often redundant in the sense that the measurements of some nodes can be substituted by other nodes with a certain degree of confidence. This spatial correlation results in wastage of link bandwidth and energy. In this paper, a model for two associated Poisson processes, through which sensors are distributed in a plane, is derived. A probability condition is established for data redundancy among closely located sensor nodes. The model generates a spatial bivariate Poisson process whose parameters depend on the parameters of the two individual Poisson processes and on the distance between the associated points. The proposed model helps in building efficient algorithms for data dissemination in the sensor network. A numerical example is provided investigating the advantage of this model.

Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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