Data aggregation among mobile devices for upload traffic reduction in crowdsensing systems

Abstract

Crowdsensing systems exploit widely scattered mobile devices for large scale sensing applications. In crowdsensing systems, since there is a possibility that a huge amount of data is uploaded through cellular networks or Wi-Fi, a general framework for reducing the traffic volume is required to avoid overloading these network infrastructures. In this paper, we propose a data aggregation method among mobile devices to reduce traffic volume incurred by uploading of sensory data. By utilizing opportunistic contacts between mobile devices, sensory data are moved using short range communication over mobile devices so that aggregation performance is improved. To achieve effective data movement, our method utilizes contact history among mobile devices, and let the mobile devices that are frequently contacted by the other devices collect sensory data intensively from the other devices. Experiments show that our method can achieve high aggregation performance in various settings.