Information-Driven Collaborative Processing for Diffusive Source Estimation in Wireless Sensor Networks

Hossein Khonsari, Mohammad Hossein Kahaei

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DOI: 10.4236/wsn.2010.27068                

Abstract

This paper discusses an accurate distributed algorithm for diffusive source localization while maintaining the low energy consumption of sensor nodes in wireless sensor networks. In this algorithm, the sensor selection scheme based on the information utility measure is used. To update the estimation in each selected node, a neighborhood radius equal to the communication range of the sensor nodes is defined and all sensors located in the neighborhood circle, whose radius is equal to the neighborhood radius and the selected node is its centre, collaborate their information. To decrease the energy consumption, the neighborhood radius is reduced gradually based on the error covariance value of the estimation. In addition, this paper includes a new method for the initial point calculation which is important in the recursive methods used for distributed algorithms in wireless sensor networks. Numerical examples are used to study the performance of the algorithms. Simulation results show the accuracy of the new algorithm becomes better while its energy consumption is low enough.

Keywords

Information-Driven Collaborative Processing, Wireless Sensor Network, Diffusive Source Localization

Conflicts of Interest

The authors declare no conflicts of interest.

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