TSIRP: A Temporal Social Interactions-Based Routing Protocol in Opportunistic Mobile Social Networks

With the increasing number of smart device users, data transmission between users is becoming more important, and a network architecture called opportunistic mobile social (OMSN) gaining attention. However, routing in OMSNs challenging problem due to frequent disconnection nodes absence paths from source destination. It results complex topology low packet success rate. Therefore, we propose novel algorithm temporal interactions-based protocol (TSIRP) for solving performance improper selection message relay nodes. First, focus on context interactions. Specifically, at certain time day, person has specific people with whom usually interacts (e.g., workers meet co-workers during working hours; students their classmates class). Based interactions nodes, potential forwarding metrics are proposed calculated each day make decisions. Second, new scheme control spreading rate, which allows achieving balance delivery latency overhead ratio. In addition, an analytical model also designed using absorbing Markov chain estimate TSIRP. Simulations were conducted, indicate that TSIRP can achieve better than existing protocols terms ratio, latency, average hop count.