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- Title
Energy-aware quality of information maximisation for wireless sensor networks.
- Authors
Pengfei Du; Qinghai Yang; Qingsu He; Kyung Sup Kwak
- 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.
- Subjects
WIRELESS sensor networks; WIRELESS sensor nodes; ENERGY storage; LYAPUNOV stability; ENERGY consumption
- Publication
IET Communications (Wiley-Blackwell), 2016, Vol 10, Issue 17, p2281
- ISSN
1751-8628
- Publication type
Article
- DOI
10.1049/iet-com.2015.1064