Smart Energy Harvesting for Internet of Things

Farzad H. Panahi, Sogol Moshirvaziri, Yasin Mihemmedi, Fereidoun H. Panahi, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


In this paper, we study the performance of smart networks in terms of energy efficiency (EE) based on the internet of things (IoT) technology. Energy Harvesting (EH) from surroundings is a promising solution for compensating the limitation of batteries lifetime. Fuzzy Q-Learning algorithm has been proposed to determine the sensor movement strategy toward the dedicated power stations (PSs) as energy charger nodes for mobile sensors in order to improve network lifetime via acceleration of the battery charging process of mobile sensors. Simulation results for evaluation of the proposed strategy in term of normalized network lifetime compared to the random sensor motions, confirm the effectiveness of this approach as a practical smart EH for IoT networks.

Original languageEnglish
Title of host publicationProceedings - 2018 Smart Grid Conference, SGC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728111384
Publication statusPublished - 2018 Nov
Event2018 Smart Grid Conference, SGC 2018 - Sanandaj, Iran, Islamic Republic of
Duration: 2018 Nov 282018 Nov 29

Publication series

NameProceedings - 2018 Smart Grid Conference, SGC 2018


Conference2018 Smart Grid Conference, SGC 2018
Country/TerritoryIran, Islamic Republic of


  • Smart sensor network
  • energy harvesting
  • internet of things
  • mobile sensors
  • network lifetime
  • power station

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization


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