Behavior trust evaluation for node in WSNs with Fuzzy-ANP method

Security is one of the most important issues of wireless sensor networks (WSNs). The characteristic of WSNs resulted that the traditional methods will not suitable. Trust management is considered as the effective supplement of traditional cryptography security, it has been widely studied in peer-to-peer network, the grid, and the pervasive computing environment. The issue of trust research in WSNs, the evaluation of nodes is primarily through observing the behavior of them, so the focus of the study is to translate the ambiguous and abstract concept of the trust into quantifiable, specific indicators to be evaluated. As the ANP (analytic network process) method can be fully and accurately reflect the relationship between the objects, so it is used to analyze the relationship which is dependent and feedback among the properties on node. And then create the ANP model. As people's subjective judgments has uncertainty and ambiguity in comparing judgment among elements, with triangular fuzzy number the paper proposed the trust evaluation for node in WSNs which based on Fuzzy-ANP(F-ANP). Finally an example shows how to use the method and the effects are described through analysis and data simulation.