Fair energy-efficient resource allocation in wireless sensor networks over fading TDMA channels

Authors:
Xin Wang;Di Wang;Hanqi Zhuang;Salvatore D. Morgera
Affiliations:
Dept. of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL;Dept. of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL;Dept. of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL;Dept. of Electrical Engineering University of South Florida, Tampa, FL
Venue:
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Year:
2010

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Abstract

In this paper we consider the energy-efficient resource allocation that minimizes a general cost function of average user powers for small- or medium-scale wireless sensor networks, where the simple time-division multiple-access (TDMA) is adopted as the multiple access scheme. A class of so-called β-fair cost functions is derived to balance the trade-off between efficiency and fairness in energy-efficient designs. Based on such cost functions, optimal channel-adaptive resource allocation schemes are developed for both single-hop and multihop TDMA sensor networks. Relying on stochastic optimization tools, we further develop stochastic resource allocation schemes which are capable of dynamically learning the intended wireless channels and converging to the optimal benchmark without a priori knowledge of channel fading distribution function.