Urban IoT data collection is challenging due to the limitations of the fixed sensing infrastructures. Instead of transmitting data directly through expensive cellular networks, citizen-centric data collection scheme through opportunistic network takes advantage of human mobility as well as cheap WiFi and D2D communication. In this paper, we present OppNet, which implements a context aware data forwarding algorithm and fills the gap between theoretical modelling of opportunistic networking and real deployment of citizencentric data collection system. According to the results from a 3-day real-life experiment, OppNet shows consistent performance in terms of number of hops and time delay. Moreover, the underlying social structure can be clearly identified by analysing social contact data collected through OppNet.
|Publication status||Published - 12 Dec 2016|
|Event||2016 IEEE 3rd World Forum on Internet of Things - Reston, United States|
Duration: 12 Dec 2016 → 14 Dec 2016
|Conference||2016 IEEE 3rd World Forum on Internet of Things|
|Period||12/12/16 → 14/12/16|