Utilizing Position-based Routing for Data Aggregation in Crowdsensing Systems
Morihiko Tamai, Akio Hasegawa, Nobuo Suzuki · 2018
In crowdsensing systems, a huge amount of sensory data may be uploaded from the mobile devices participating in a sensing campaign and may lead to the overloading in the network infrastructures of cellular networks or Wi-Fi. In order to reduce the upload traffic volume, we present a distributed data aggregation scheme among mobile devices over the opportunistic network. Using short range communication (e.g., Bluetooth or Wi-Fi Direct), our scheme utilizes position-based routing to forward sensory data to the appropriate mobile devices that can effectively perform the data aggregation on sensory data collected from the other devices so that the aggregation performance is improved. Our simulation results show that the proposed scheme can significantly improve aggregation performance compared with other aggregation schemes.