Optimizing Social Information by Game theory and Ant Colony Method to Enhance Routing protocol in Opportunistic Networks

Publication date: Available online 4 July 2016 Source:Perspectives in Science Author(s): Chander Prabha, Ravinder Khanna, Surender Kumar The data loss and disconnection of nodes are frequent in the opportunistic networks. The social information plays an important role in reducing the data loss because it depends on the connectivity of nodes. The appropriate selection of next hop based on social information is critical for improving the performance of routing in opportunistic networks. The frequent disconnection problem is overcome by optimizing the social information with Ant Colony Optimization method which depends on the topology of opportunistic network. The proposed protocol is examined thoroughly via analysis and simulation in order to assess their performance in comparison with other social based routing protocols in opportunistic network under various parameters settings.

Source: Perspectives in Science - July 14, 2016 Category: Science Source Type: research