An energy-aware trust derivation scheme with game theoretic approach in wireless sensor networks for IoT applications

Junqi Duan, Deyun Gao, Dong Yang, Chuan Heng Foh, Hsiao Hwa Chen

Research output: Contribution to journalArticlepeer-review

120 Citations (Scopus)

Abstract

Trust evaluation plays an important role in securing wireless sensor networks (WSNs), which is one of the most popular network technologies for the Internet of Things (IoT). The efficiency of the trust evaluation process is largely governed by the trust derivation, as it dominates the overhead in the process, and performance of WSNs is particularly sensitive to overhead due to the limited bandwidth and power. This paper proposes an energy-aware trust derivation scheme using game theoretic approach, which manages overhead while maintaining adequate security of WSNs. A risk strategy model is first presented to stimulate WSN nodes' cooperation. Then, a game theoretic approach is applied to the trust derivation process to reduce the overhead of the process. We show with the help of simulations that our trust derivation scheme can achieve both intended security and high efficiency suitable for WSN-based IoT networks.

Original languageEnglish
Article number6779650
Pages (from-to)58-69
Number of pages12
JournalIEEE Internet of Things Journal
Volume1
Issue number1
DOIs
Publication statusPublished - 2014 Feb 1

All Science Journal Classification (ASJC) codes

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

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