Smart Energy Harvesting for Internet of Things

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

研究成果: Conference contribution

6 被引用数 (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.

ホスト出版物のタイトルProceedings - 2018 Smart Grid Conference, SGC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
出版ステータスPublished - 2018 11月
イベント2018 Smart Grid Conference, SGC 2018 - Sanandaj, Iran, Islamic Republic of
継続期間: 2018 11月 282018 11月 29


名前Proceedings - 2018 Smart Grid Conference, SGC 2018


Conference2018 Smart Grid Conference, SGC 2018
国/地域Iran, Islamic Republic of

ASJC Scopus subject areas

  • 人工知能
  • エネルギー工学および電力技術
  • 電子工学および電気工学
  • 制御と最適化


「Smart Energy Harvesting for Internet of Things」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。