Trust-oriented IoT service placement for smart cities in edge computing

Xiaolong Xu, Xihua Liu, Zhanyang Xu, Fei Dai, Xuyun Zhang, Lianyong Qi

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Smart city is gradually forming a large scope of Internet of Things (IoT) networks with diffusely deployed IoT devices that produce quantities of services. Considering the large-scale and widely distributed features of IoT networks, edge computing is emerged as a powerful and suitable paradigm to provide computing abilities for the IoT devices at the edge of the networks. In edge computing, the IoT services could be placed on the edge computing units (ECUs) for execution, which provides low latency and eases the burden of bandwidth. However, it is still challenging to improve the overall ECU execution performance (i.e., the resource usage, the load balance levels, the power consumption of ECUs) and meanwhile prevent privacy leakage of the IoT devices for service placement. To tackle this challenge, a trust-oriented IoT service placement method, abbreviated as TSP, is proposed for smart cities in edge computing. Technically, improving the strength pareto evolutionary algorithm (SPEA2) is leveraged to acquire the balanced placement strategies for the trade-offs among the execution performance metrics with privacy preservation. Additionally, the technique for order preference by similarity to ideal solution (TOPSIS) and multi-criteria decision-making (MCDM) techniques are employed to identify the optimal placement strategy among the obtained service placement strategies. Eventually, systematic experiments are conducted to verify the efficiency and reliability of TSP.
Original languageEnglish
Pages (from-to)4084-4091
Number of pages8
JournalIEEE Internet of Things Journal
Volume7
Issue number5
Early online date12 Dec 2019
DOIs
Publication statusPublished - May 2020

Keywords

  • Edge computing
  • Internet of Things (IoT)
  • privacy leakage
  • service placement
  • smart cities

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