Social Aware Assisted Transmission in MANET

With the coming of information era, our lives have been filled with varied mobile devices. Due to the popularity of mobile devices, Mobile Ad Hoc Network (MANET) has been widespread more than ever. However, "how to obtain trustworthy information from trusty nodes through social network " is a significant issue. This research gears toward social aware assisted transmission in MANET. In this paper, social network analysis techniques are employed to analyze the relationship among users to select appropriate node for message forwarding. We propose an Ego-Centric Social Network Routing (ECSNR) method, which stems from the concept of ego network. ECSNR considers those neighbor nodes of either social aware or non-social aware nodes within its communication range for message forwarding. ECSNR uses degree centrality, betweenness centrality, interest similarity, and friend diversity to accelerate message transmission and enhance successful message delivery. Besides, ECSNR has built-in redundant plan for overloaded nodes. The plan uses candidate list, recommended list, and interest-similar list to help select alternative nodes without having to waste time in recalculating new delivery path. ECSNR is compared with SANE [3] through simulations. Simulation results show that ECSNR outperforms SANE in packet delivery ratio, end-to-end delay, and average hop count.

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