Incomplete Information Nodes Risk Assessment in Mobile Ad Hoc Networks
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Mobile Ad hoc Networks are distributed self-organized and multi-hop networks,the efficient networks nodes risk assessment is the key factor for high quality communication.Most assessment methods based on reliability or reputation have particular requirement,suppose some conditions to the samples,and can't identify the vicious recommendation.However,in true Ad hoc networks,the exposed information of some nodes is little,which is more serious to some vicious nodes,the samples are so little that the clear state can't be identified and most are incomplete information,which result in that the assessment is not objective and credible.According to these problems,a Ad hoc networks risk assessment method based on grey theory is proposed.In this scheme,the communication nodes incomplete information state is described as grey league,the whitening function and grey clustering idea are used to do the assessment.The key attributes of nodes are marked off,original data is collected using taste concourse method to avoid vicious recommendation,the evaluated nodes are regarded as clustering entities,and the risk grade point value of their key attributes are given by clustering set assessment value,the analysis and computing shows this scheme is a efficient incomplete information nodes risk assessment method in mobile Ad hoc networks.