Opportunistic Transmission Mechanism Based on SI in Mobile Crowd Sensing Networks
Bing Jia, Shuai Liu, Tao Zhou, Zhendong Xu · 2017
Mobile Crowd Sensing Networks (MCSN) treat the ordinary users with their mobile devices as the basic sensing units, and leverage them to distribute complex social sensing tasks and collect sensing data with each other by the mobile networks. To improve the efficiency and the feasibility of data sensing, collection and transmission in MCSN, we propose an opportunistic data transmission mechanism based on SI epidemic model. Firstly, the SI epidemic model is used to analyze the social characteristics of MCSN, and obtained the table of the evolutionary relationships between the nodes based on social relationship. Secondly, the evolutionary relationships is quantified and added to the opportunistic routing as the additional information, to guide the nodes in MCSN to reach the target mobile node successfully by using the opportunistic data transmission mechanism in the mode of "storage + carry + forward". Simulation results show that the performance of data transmission mechanism can be further improved by using the SI epidemic model in the opportunistic routing. The proposed mechanism has higher success rate of delivery as well as the lower forwarding costs without significant increase in the time costs.