Evidential reasoning method based on isometric mapping in internet of vehicular Ad-hoc NETworks

As vehicular Ad-hoc NETworks (VANET) is regarded as practical application of internet of things (IOT) in modern urban traffic network, data fusion of VANET has become an important research subject in the field of IOT information sensing. Aiming at the problems of irrational assignment of conflict evidence, bad convergence effect of fusion method and multi-BBM evidence reasoning in evidence combination of the traditional DS evidence theory, an isometric mapping evidential reasoning (IMER) method is proposed. In IMER method, the low-dimensional embedding vector of each evidence body is obtained by using the similar relations between multi-BBM evidence bodies, and then the similarity of low- dimensional evidence bodies is calculated to achieve evidential reasoning of multi-BBM evidence bodies in VANET. The experimental results show that the proposed method can reasonably assign conflict evidence and has good convergence and effectiveness.