Intelligent Charging Path Planning for IoT Network over Blockchain-Based Edge Architecture

Hsin Hung Cho, Hsin Te Wu, Chin Feng Lai, Timothy K. Shih, Fan Hsun Tseng

Research output: Contribution to journalArticlepeer-review

Abstract

A wireless rechargeable sensor network was proposed to extend the lifetime of the wireless sensor network. In this article, a charger is combined together with a self-propelled vehicle to provide a more flexible result of charger deployment. The dynamic chargers path selection problem is defined and mapped into the traveling salesman problem. Four metaheuristic algorithms for Internet-of-Things (IoT) applications are designed, and the higher fitness value between the charging path and the number of dead IoT devices is achieved. However, metaheuristic approaches may spend more time on searching solutions so that many IoT devices overuse limited power and fail to be charged for a long time, leading to power exhaustion. In this article, the edge computing technique is applied to accelerate the obtainment of charging paths with the well-defined edge/centralized unit switching. Moreover, to assure the calculated path trustworthy and will not be tampered with, the blockchain technology is adopted. The proposed architecture maintains high-level information credibility while transmitting the information of charging paths within the cloud and edge. The simulation results showed that the proposed method is capable of achieving better charging efficiency and less deployment cost.

Original languageEnglish
Article number9208679
Pages (from-to)2379-2394
Number of pages16
JournalIEEE Internet of Things Journal
Volume8
Issue number4
DOIs
Publication statusPublished - 2021 Feb 15

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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