Bayesian fusion algorithm for inferring trust in wireless sensor networks

Mohammad Momani*, Subhash Challa, Rami Alhmouz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


This paper introduces a new Bayesian fusion algorithm to combine more than one trust component (data trust and communication trust) to infer the overall trust between nodes. This research work proposes that one trust component is not enough when deciding on whether or not to trust a specific node in a wireless sensor network. This paper discusses and analyses the results from the communication trust component (binary) and the data trust component (continuous) and proves that either component by itself, can mislead the network and eventually cause a total breakdown of the network. As a result of this, new algorithms are needed to combine more than one trust component to infer the overall trust. The proposed algorithm is simple and generic as it allows trust components to be added and deleted easily. Simulation results demonstrate that a node is highly trustworthy provided that both trust components simultaneously confirm its trustworthiness and conversely, a node is highly untrustworthy if its untrustworthiness is asserted by both components.

Original languageEnglish
Pages (from-to)815-822
Number of pages8
JournalJournal of Networks
Issue number7
Publication statusPublished - 2010


  • Bayesian
  • Communication
  • Data
  • Fusion
  • Network
  • Sensor
  • Trust

ASJC Scopus subject areas

  • Computer Networks and Communications


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