Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

An important feature of the wireless network scenario is that there are multi- radio access technologies in same area, and signal coverage these networks overlaps each other, forming heterogeneous area. Network selection algorithm key technology network. The common algorithms based on accurate attribute values. However, due to mobility users, interference signals fluctuation state, attributes obtained by often uncertain. To solve this problem, paper designs a multi-attribute approach fuzzy attributes. This calculates values interval hesitant theory at first. Then, it subjective weights analytic hierarchy process objective entropy method. integrated method longest geometric distance negative ideal solution. In end, we calculate scores candidate grey relational analysis intuitionistic decision matrix. simulation shows proposed can select most suitable reduce number handoffs under environment uncertain