Activity-Based Message Opportunistic Forwarding in Mobile Social Networks
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    Abstract:

    In mobile social networks, nodes are clustered by their interests and hobbies, and take part in some activities periodically. This paper puts forward an activity-based message opportunistic forwarding algorithm (AMOF) for the network characteristics. The main idea is that the biggest delivery probability node is selected and message is transferred to it, if the source node and destination node are both present in the same activities. While they are not in the same activities, the best link of the indirect delivery probability is found, and message will be transferred to it. Simulation results show that the proposed routing algorithm can not only improve the success of message delivery, but also reduce the network delay and overhead, compared with classical routing algorithms, such as Epidemic, PRoPHET, CMOT and CMTS.

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张胜,王瑜,包晓玲,姚明辉,黄毅,时招军.移动社会网络中基于活动的消息机会转发.软件学报,2017,28(s1):71-84

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  • Received:May 15,2017
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  • Online: December 15,2017
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