The Security Assessment Method of Wireless Sensor Network With Interval Grey Linguistic Variables
In this paper, the authors investigate the Multiple Attribute Decision Making (MADM) problems for evaluating the security of Wireless Sensor Network (WSN) with interval grey linguistic variables. They utilize the Interval Grey Linguistic Weighted Geometric (IGLWG) operator to aggregate the interval grey linguistic variables corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given. As the new generation network originated from the military field, WSN has great application prospects for its openness and the synthesis of several networks (including computer network and communication network etc.).