Energy Cooperative Transmission Policy for Energy Harvesting Tags

Mengistu Abera Mulatu, Thembelihle Dlamini, Thokozani Shongwe, Mzabalazo Lupupa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To sustain communication reliability and use effectively the energy harvested from the surrounding, it is crucial to consider energy sharing between energy harvesting tags (EHT) in a multiple access network, which are basic building blocks for the internet of things (IoT) applications. This technique also achieves higher throughput compared with the non-cooperative strategies despite energy losses occurred during energy transfer. We propose an energy-sharing communication strategy for a multiple access network of tags that depends on the harvested battery energy. We design an optimal communication scheme for EHTs that maximises the long-term joint average system throughput using a Markov decision process (MDP) model. Simulation results show that the proposed energy cooperative policy produces improved performance than traditional policies.

Original languageEnglish
Title of host publicationInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665442312
DOIs
Publication statusPublished - 2021
Event2021 International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021 - Cape Town, South Africa
Duration: 9 Dec 202110 Dec 2021

Publication series

NameInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2021

Conference

Conference2021 International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021
Country/TerritorySouth Africa
CityCape Town
Period9/12/2110/12/21

Keywords

  • Cooperative Energy sharing
  • Markov decision process
  • active tags
  • cooperative transmission policy
  • energy harvesting

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Computer Science
  • Energy Engineering and Power Technology

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