Sensors, Vol. 20, Pages 6287: An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks

Sensors, Vol. 20, Pages 6287: An Intelligent Data Uploading Selection Mechanism for Offloading Uplink Traffic of Cellular Networks Sensors doi: 10.3390/s20216287 Authors: Qian Wang Juan Fang Bei Gong Xiaojiang Du Mohsen Guizani Wi-Fi uploading is considered an effective method for offloading the traffic of cellular networks generated by the data uploading process of mobile crowd sensing applications. However, previously proposed Wi-Fi uploading schemes mainly focus on optimizing one performance objective: the offloaded cellular traffic or the reduced uploading cost. In this paper, we propose an Intelligent Data Uploading Selection Mechanism (IDUSM) to realize a trade-off between the offloaded traffic of cellular networks and participants’ uploading cost considering the differences among participants’ data plans and direct and indirect opportunistic transmissions. The mechanism first helps the source participant choose an appropriate data uploading manner based on the proposed probability prediction model, and then optimizes its performance objective for the chosen data uploading manner. In IDUSM, our proposed probability prediction model precisely predicts a participant’s mobility from spatial and temporal aspects, and we decrease data redundancy produced in the Wi-Fi offloading process to reduce waste of participants’ limited resources (e.g., storage, battery). Simulation results show that the offloading...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research
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