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.
For most participatory sensing applications, availability of participants in terms of geographic and temporal coverage of the sensing area is important. For example, in a noise map sensing campaign, it is desirable to recruit participants who regularly pass through the sensing region and cover as much of the area as possible. @cite_4 proposed a recruitment framework for participatory sensing systems which aims at identifying suitable participants based on parameters such as geographical and temporal availability of participant. Participants have previously collected location traces for a period of time that represent their typical behaviour. The location traces are used by the qualifier component to select participants who have the task minimum location requirements. Once participants are selected, the assessment component identifies which subset of participants maximizes coverage over task specific area. These participants are then recruited and begin producing sensor data. During the campaign, the progress review component periodically monitors the coverage and availability of participants to see whether they remain consistent with task requirements.
@cite_4
1553085258
Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types (image, audio, and location). The adoption of these increasingly capable devices by society has enabled a potentially pervasive sensing paradigm - participatory sensing. A coordinated participatory sensing system engages individuals carrying mobile phones to explore phenomena of interest using in situ data collection. For participatory sensing to succeed, several technical challenges need to be solved. In this paper, we discuss one particular issue: developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits. This recruitment system is evaluated through a series of pilot data collections where volunteers explored sustainable processes on a university campus.