Research on Opportunistic Network Routing Based on Community Structure

Currently,the study on opportunity network based on community structure remains to be improved,since the routing algorithm dose not take the transmission efficiency of the message into account between different communities,and in the community the routing it only use simple Spray and Wait routing algorithm,making opportunistic network based on community structure less efficient.To address these issues,the community model has been improved with the factors of node regression in mind,and a new routing algorithm called Node Back Routing under the improved community model is proposed.In the community,the routing algorithm uses the hybrid routing rules,and adds the positive feedback to recalculate the activity of the nodes.In different communities,the routing algorithm uses query routing table and considers the node regression method,making use of the attributes of the node regression to improve the efficiency of the message forwarding.Simulation results show that the improved community structure and routing algorithms improve the message transmission rate between different communities and in the same communities and effectively reduce network consumption.