Node Selection for Routing Data Using MCDM Algorithm

Computer Engineering

In this paper, an algorithm for node selection is proposed. This algorithm is based on fuzzy set theory concept and classical AODV routing . Previous node selection methodology were based on different routing tables . subset theory has been constituted and presented with a two level structural analyses in order to enhance the performance of network by selecting most trusted node This paper proposes a multi objective node selection algorithm, based on fuzzy set has two levels. The first level is to evaluate fuzzy weightage with respect to various criteria. Second level is to assign rating to all alternative node against each selection criteria. Thus, this algorithm enable to account for decision makers fuzzy assessments with various rating attitude and trade offs between various evaluation criteria. The weightage of each criteria can be evaluated by direct assignments or pair wise comparison, linguistic variables are used to assess preference. A scale is employed by decision maker to evaluate relative importance of different attributes using overlapping grade functions of triangular linguistic variables, each decision maker has to weigh each attribute on the designed scale. Fuzzy suitability indices have been evaluated by aggregating decision maker's fuzzy assessments about criteria weightings and merit ratings of alternatives with respect to selection criteria. The merit ratings of alternatives are further ranked to select the node.

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