Wireless powered communication network in IoT enabled water distribution system

Radhakrishnan, Varsha and Wu, Wenyan (2019) Wireless powered communication network in IoT enabled water distribution system. In: 17th International Computing & Control for the Water Industry Conference, 1-4 September, Exeter UK.

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Abstract

Water distribution system (WDS) is a very important research area that affects the economic growth of our country and requires a great amount of energy for monitoring and management. Many routing protocols has been developed to conserve energy and extend the battery life. In spite of considering the energy conservation, it results in performance degradations. So there is a need to ensure the water quality and wastage in real time by integrating new technologies such as wireless powered communication network (WPCN), Energy harvesting (EH) and AI methods to reduce such issues. In WPCN, the wireless devices first harvest energy from the RF source signals and then manage this energy for its processing. The research in the area of WPCN is leading more ways in energy harvesting and management due to charging over air when compared to the conventional battery charging system. Therefore, its free from battery replacement issues which results in low operational cost and increase in performance. Another advantage of WPCN is its stable and controlled power supply under different requirements and physical conditions. All these advantage makes WPCN a better choice in wireless energy transfer [2]. To extend WPCN into IoT, the designing of resource allocation schemes, interference management etc is considered carefully [1][3].
This research paper focusses on optimizing the energy used in the WPCN with multiple energy sources and multiple sensors in order to achieve zero power state where the the amount of energy produced and consumed reaches to a constant value. The problem of unfair information transmission and EH in a dynamic environment is planned to solve by implementing an energy management scheme where important decisions are taken using artificial intelligence methods.

Item Type: Conference or Workshop Item (Paper)
Date: 4 September 2019
Uncontrolled Keywords: water distribution system, wireless powered communication network, Internet of Things (IOT)
Subjects: H100 General Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Wenyan Wu
Date Deposited: 13 Aug 2019 13:13
Last Modified: 23 Sep 2020 14:51
URI: http://www.open-access.bcu.ac.uk/id/eprint/7829

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