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Article history: Received: 15 February, 2019 Accepted: 14 March, 2019 Online: 25 March, 2019 In Opportunistic Mobile social networks (OMSNs), the social characteristics and behavior of humans carrying mobile devices are exploited to improve information provision and data routing in the network. Social-based routing algorithms attempt to exploit users’ social features such as similarity, centrality and betweenness, singularly or combined, to select a suitable relay node among neighbors. However, when combining multiple social metrics to enhance routing performance in opportunistic mobile social networks, most existing algorithms ignore considering the correlation and the mutual impacts among these social metrics. In this paper, we propose a social-based routing approach called Multi Social Metrics (MSM) to enhance data routing in OMSN. In MSM, three social metrics, namely degree centrality, social similarity, and social activeness are exploited, also the mutual impacts among them are considered for performance enhancement. Using real dataset traces, simulation results show the efficiency of MSM by comparing it with other benchmark schemes. Empirical results show that MSM scheme decreases the overhead ratio and the average hop count while achieving competitive delivery ratio and average latency in OMSN.

Multiple Social Metrics Based Routing Protocol in Opportunistic Mobile Social Networks