Uncertainty-aware Wireless Sensor Networks

Authors:
Sanchita Mal-Sarkar;Iftikhar U. Sikder;Chansu Yu;Vijay K. Konangi
Affiliations:
Department of Computer and Information Science, Cleveland State University, Cleveland, OH 44115, USA.;Department of Computer and Information Science, Cleveland State University, Cleveland, OH 44115, USA.;Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA.;Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA
Venue:
International Journal of Mobile Communications
Year:
2009

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Abstract

The characterisation of uncertainty and the management of Quality of Service are important issues in mobile communications. In a Wireless Sensor Network, there is a high probability of redundancy, correlation and noise in the sensor features since data is often collected from a large array of densely deployed neighbouring sensors. This article proposes a soft computing approach to manage uncertainty by reasoning over inconsistent, incomplete, and fragmentary information using classical rough set and dominance-based rough set theories. A methodological and computational basis is provided and is illustrated in a real world sensor network application of aquatic biodiversity mapping under uncertainty.