Energy‐aware quality of information maximisation for wireless sensor networks. Issue 17 (1st November 2016)

• Record Type: Journal Article
• Authors: Du, Pengfei; Yang, Qinghai; He, Qingsu; Kwak, Kyung Sup
• Is Part Of: IET communications. Volume 10:Issue 17(2016)
• Page Start: 2281
• Page End: 2289
• Publication Date: 2016-11-01
• Subjects: wireless sensor networks -- stochastic programming -- stability -- Lyapunov methods; wireless sensor network -- energy‐aware quality of information maximisation problem -- QoI maximisation problem -- packet‐dropped rate -- sampling rate -- revenue‐cost function -- energy expenditure -- stochastic optimisation programming -- network stability constraint -- Lyapunov drift theory -- collaborative sensing -- transmit power control algorithm; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2015.1064
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In this study, the authors investigate the energy‐aware quality of information (QoI) maximisation problem by jointly optimising the sensor selection, sampling rate, packet‐dropped rate, and transmit power in wireless sensor networks. By introducing the weight parameters, the authors first present a revenue‐cost (RC) function which combines the optimisation objectives of the QoI and energy expenditure into a single objective to capture the tradeoff between them. Then, a stochastic optimisation programming is formulated to maximise the long‐term average RC value subject to the network stability constraint. Using the Lyapunov drift theory, the authors develop a collaborative sensing and transmit power control algorithm that can guarantee the worst‐case delay for each packet. Simulation results demonstrate the advantages of the proposed algorithm.