A Trust-based Recruitment Framework for Multi-hop Social Participatory Sensing

TL;DR

This paper introduces a trust-based multi-hop social participatory sensing recruitment framework that effectively identifies trustworthy participants through friendship networks, improving the quality and trustworthiness of sensing contributions.

Contribution

It presents a novel multi-hop recruitment framework leveraging friendship relations and trust metrics, enhancing participant selection in social participatory sensing.

Findings

Higher number of suitable participants selected

Improved overall trustworthiness of contributions

More effective than one-hop recruitment methods

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.