Geo-Social: Location and Social Metrics Enabled MoNsRouting Algorithms

Mobile opportunistic networks (MONs) are intermittently connected networks in which a multitude of mobile devices are carried by people and packets are delivered among devices via opportunistic communications. In opportunistic networks (OppNets), messages are transmitted between nodes in an opportunistic fashion following a store , carry-and-forward approach and a routing protocol, with the hope to reach their destinations. Routing in MONs is very challenging as it must handle network partitioning, long delays, and dynamic topology. In existing routing protocols for OppNets, different parameters such as node’s delivery predictability, node’s mobility, distance with respect to destination, node’s energy consumption, contact duration between nodes etc.. are considered in the selection of the best suitable next hop to carry the message toward the destination. In this paper we have presented a routing protocol which considers the location history, access patterns of mobile user as its feature and infer the location and social relationship between the mobile users. We have a large dataset of mobile users which is simulated and simulation results show the effectiveness of geo social methods.