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

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
文章編號9208679
頁(從 - 到)2379-2394
頁數16
期刊IEEE Internet of Things Journal
8
發行號4
DOIs
出版狀態Published - 2021 二月 15

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 資訊系統
  • 硬體和架構
  • 電腦科學應用
  • 電腦網路與通信

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