Smart Image-Processing based Energy Harvesting for Green Internet of Things

Farzad H. Panahi, Parya Hajimirzaee, Shahede Erfanpoor, Fereidoun H. Panahi, Tomoaki Ohtsuki

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

5 Citations (Scopus)


Internet of Things (IoT), as a widespread growing technology which connects various heterogeneous devices of wireless sensor networks (WSNs), plays a great role in sensing, monitoring, controlling of the covering environment. However, maximizing the lifetime of WSNs is still a major challenge. Although some approaches have been introduced to overcome the vital problem so far, research on this problem experiences a slow progress. Inspired by the promising performance of fuzzy-based Q-learning (FQL) algorithm to design practical smart sensors, this paper proposes a FQL-based approach that can maximize the lifetime of sensors and accelerate the process of wireless energy harvesting (EH) for mobile sensors which coexist with macro and small base stations (SBSs) deployed over a time-variant heterogeneous network (HetNet). The methodology is based on a centralized image-processing (IP) approach to scan and find the instant coverage map of the HetNet and then to localize red regions, i.e., regions with high levels of energy. Furthermore, mobile sensors attempt to access these regions during frequent movements. This will help to maximize the lifetime of the WSN. Simulation results confirm the effectiveness of the wireless EH process and smart aggregation of mobile sensors around the dense-coverage areas.

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


  • Green heterogeneous networks
  • energy harvesting image processing
  • fuzzy-based Q-learning algorithm
  • lifetime
  • wireless sensor networks

ASJC Scopus subject areas

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


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