Node Trust Assessment in Mobile Ad Hoc Networks Based on Multi-dimensional Fuzzy Decision Making

Abstract

Due to the nature of distribution and self-organization, Mobile ad hoc networks rely on cooperation between nodes to transfer information. Therefore, one of the key factors to ensure high communication quality is an efficient assessment scheme for risks and trust of choosing next cooperative potential 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 above makes it very difficult to quantify and forecast trust accurately. In this paper, based on the theories of fuzzy recognition, we present a pattern of multi-dimensional fuzzy decision making with feedback. The analysis and experimental computation shows that this scheme is efficient in risk assessment of Ad hoc networks.