An Opportunity Transmission Mechanism in Mobile Crowd Sensing Network based on SSIS Model

作者：Jia Bing; Zhou Tao; Li Wuyungerile; Xu Zhendong

来源：22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018, 2018-05-09 To 2018-05-11.

DOI：10.1109/CSCWD.2018.8465162

• Crowd sensing
• Data transmission mechanisms
• Destination nodes
• Opportunistic transmission
• Short-range wireless communications
• Social information
• Social relationships
• Transmission mechanisms

Mobile Crowd Sensing Network (MCSN) is a new sensing mode in the Internet of Things by taking advantage of individual's mobile device with multiple sensors to collect some specific data for certain applications. There are two modes of transmission mechanism in the existing systems: one is end-to-end mode via the cellular network and the other is opportunistic transmission via short-range wireless communication technology. Due to the higher cost, the former is not conducive to enlarging users'participation. This paper focuses on the mode of the latter to build a new opportunistic transmission in MCSN. Differently from most existing studies, i.e. Preference-aware and energy-aware, this paper proposes an opportunistic data transmission mechanism based on SSIS model (a socialization SIS epidemic model), who can transfer the sensing data to the platform by forwarding step by step without extra cost. Specifically, firstly, SSIS model is defined based on SIS epidemic model by social information in MCSN. Additionally, SSIS model is used to analyze the social relationship of mobile sensing nodes in MCSN to obtain a social relational table. Finally, the social relational table is used to improve the Spray and Wait (SW), which is a typical opportunistic transmission mechanism, to guide the source node which performs the task of sensing to propagate the sensing data selectively to other nodes until it reaches the destination node which can send the data to the platform. Simulation results show that the performance of data transmission can be further improved by using the proposed mechanism in comparison with SW, Epidemic and Prophet.

• 出版日期2018