Node trust evaluation in mobile ad hoc networks based on multi-dimensional fuzzy and Markov SCGM(1,1) model

Authors:
Feng Zhang;Zhi-Ping Jia;Hui Xia;Xin Li;H. -M. Sha Edwin
Affiliations:
School of Computer Science and Technology, Shandong University, Jinan 250101, China and School of Information Engineering, Taishan Medical University, Taian 271016, China;School of Computer Science and Technology, Shandong University, Jinan 250101, China;School of Computer Science and Technology, Shandong University, Jinan 250101, China;School of Computer Science and Technology, Shandong University, Jinan 250101, China;College of Information Science and Engineering, Hunan University, Changsha 410082, China and Department of Computer Science, University of Texas at Dallas, TX 75083, USA
Venue:
Computer Communications
Year:
2012

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Abstract

Due to the nature of distribution and self-organization, mobile ad hoc networks rely on cooperation between nodes to transfer information. One of the key factors to ensure high communication quality is an efficient assessment scheme for risks and trust of choosing next potential cooperative nodes. Trust model, an abstract psychological cognitive process, is one of the most complex concepts in social relationships, involving factors such as assumptions, expectations and behaviors. All of the above make it difficult to quantify and forecast trust accurately. In this paper, based on the theories of fuzzy recognition with feedback, SCGM(1,1) model and Markov chain, we present a pattern of prediction making. The analysis and experimental computation show that this scheme is efficient in trust prediction for ad hoc networks.