Mahapatra, Chinmaya, Sheng, Zhengguo, Kamalinejad, Pouya, Leung, Victor C M and Mirabbasi, Shahriar (2016) Optimal power control in green wireless sensor networks with wireless energy harvesting, wake-up radio and transmission control. IEEE Access, 5. pp. 501-518. ISSN 2169-3536

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Abstract

Wireless sensor networks (WSNs) are autonomous networks of spatially distributed sensor nodes which are capable of wirelessly communicating with each other in a multi-hop fashion. Among different metrics, network lifetime and utility and energy consumption in terms of carbon footprint are key parameters that determine the performance of such a network and entail a sophisticated design at different abstraction levels. In this paper, wireless energy harvesting (WEH), wake-up radio (WUR) scheme and error control coding (ECC) are investigated as enabling solutions to enhance the performance of WSNs while reducing its carbon footprint. Specifically, a utility-lifetime maximization problem incorporating WEH, WUR and ECC, is formulated and solved using distributed dual subgradient algorithm based on Lagrange multiplier method. It is discussed and verified through simulation results to show how the proposed solutions improve network utility, prolong the lifetime and pave the way for a greener WSN by reducing its carbon footprint.

Item Type:	Article
Keywords:	Autonomous networks;Encoding;Energy consumption;Energy harvesting;Error correction codes;Green communication;Radio communication;Wireless sensor networks;Green wireless sensor network (GWSN);error control coding (ECC);subgradient algorithm;wake-up radio (WUR);wireless energy harvesting (WEH)
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Sensor Technology Research Centre
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User:	Zhengguo Sheng
Date Deposited:	04 Jan 2017 12:15
Last Modified:	09 Jun 2017 16:11
URI:	http://srodev.sussex.ac.uk/id/eprint/66021

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