Abstract-The idea of social participatory sensing provides a substrate to benefit from friendship relations in recruiting a critical mass of participants willing to attend in a sensing campaign. However, the selection of suitable participants who are trustable and provide high quality contributions is challenging. In this paper, we propose a recruitment framework for social participatory sensing. Our framework leverages multi-hop friendship relations to identify and select suitable and trustworthy participants among friends or friends of friends, and finds the most trustable paths to them. The framework also includes a suggestion component which provides a cluster of suggested friends along with the path to them, which can be further used for recruitment or friendship establishment. Simulation results demonstrate the efficacy of our proposed recruitment framework in terms of selecting a large number of well-suited participants and providing contributions with high overall trust, in comparison with one-hop recruitment architecture.
They proposed another solution REF that leverages social networks and proposes multi-hops, i.e., selection of friends of friends, in order to select the most appropriate and trustworthy participants for a task recruitment.
A Trust-based Recruitment Framework for Multi-hop Social Participatory Sensing
2013 IEEE International Conference on Distributed Computing in Sensor Systems
2013 IEEE International Conference on Distributed Computing in Sensor Systems
Computer Science Physics