Group-based trust management scheme for clustered wireless sensor networks

Riaz Ahmed Shaikh, Hassan Jameel, Brian J. d'Auriol, Heejo Lee, Sungyoung Lee, Young Jae Song

Research output: Contribution to journalArticle

219 Citations (Scopus)

Abstract

Traditional trust management schemes developed for wired and wireless ad hoc networks are not well suited for sensor networks due to their higher consumption of resources such as memory and power. In this work, we propose a new lightweight Group-based Trust Management Scheme (GTMS) for wireless sensor networks, which employs clustering. Our approach reduces the cost of trust evaluation. Also, theoretical as well as simulation results show that our scheme demands less memory, energy, and communication overheads as compared to the current state-of-the-art trust management schemes and it is more suitable for large-scale sensor networks. Furthermore, GTMS also enables us to detect and prevent malicious, selfish, and faulty nodes.

Original languageEnglish
Pages (from-to)1698-1712
Number of pages15
JournalIEEE Transactions on Parallel and Distributed Systems
Volume20
Issue number11
DOIs
Publication statusPublished - 2009 Aug 21

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Wireless sensor networks
Sensor networks
Data storage equipment
Wireless ad hoc networks
Communication
Costs

Keywords

  • Security
  • Sensor networks
  • Trust evaluation
  • Trust management
  • Trust modeling

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Computational Theory and Mathematics

Cite this

Group-based trust management scheme for clustered wireless sensor networks. / Shaikh, Riaz Ahmed; Jameel, Hassan; d'Auriol, Brian J.; Lee, Heejo; Lee, Sungyoung; Song, Young Jae.

In: IEEE Transactions on Parallel and Distributed Systems, Vol. 20, No. 11, 21.08.2009, p. 1698-1712.

Research output: Contribution to journalArticle

Shaikh, Riaz Ahmed ; Jameel, Hassan ; d'Auriol, Brian J. ; Lee, Heejo ; Lee, Sungyoung ; Song, Young Jae. / Group-based trust management scheme for clustered wireless sensor networks. In: IEEE Transactions on Parallel and Distributed Systems. 2009 ; Vol. 20, No. 11. pp. 1698-1712.
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