[Invited] NDN Based Participatory Crowdsensing Framework with Area-focused Interest Forwarding

Abstract

Mobile crowdsensing is gaining wide popularity, and its main aim is to collect significant amounts of data by leveraging mobile terminals such as smartphones that provide a ubiquitous communication environment. On the other hand, named data networking (NDN) has become one of the most popular information-centric networks. In this paper, as a new paradigm, we propose an advanced crowdsensing system using NDN. Unlike previous studies, data, including uncertain information such as people’s notions, opinions, and knowledge, are gathered from the outer locations of NDN, thanks to the delay-tolerant feature, which opens up new possibilities for data collection. The request for the data is forwarded in an area-focused manner. In addition, with this approach, we expect to significantly reduce the redundant data responses.