Title: Uncertainty-aware Wireless Sensor Networks

Authors: Sanchita Mal-Sarkar, Iftikhar U. Sikder, Chansu Yu, Vijay K. Konangi

Addresses: 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

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.

Keywords: mobile communications; rough sets theory; soft computing; uncertainty management; wireless sensor networks; WSNs; context-aware networks; wireless networks; aquatic biodiversity mapping.

DOI: 10.1504/IJMC.2009.023675

International Journal of Mobile Communications, 2009 Vol.7 No.3, pp.330 - 345

Published online: 07 Mar 2009 *

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