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2020 • Recruitment algorithms for vehicular sensor networks

Authors: Fabio Campioni, Salimur Choudhury, Usman Tariq, Ali Kashif Bashir

Abstract: © 2020 Elsevier B.V. Vehicular crowdsensing allows the rapid, predictable movement of vehicles, as well as their wide variety of sensors, to gather sensing data in crowdsensing applications. Recruitment algorithms are used to select a subset of participants in an area that will provide the most complete coverage. In this paper, we explore two variations of the vehicular recruitment problem. In the first problem, which we refer to as the priority based vehicle recruitment problem, we consider coverage areas in which subsets must be covered. In (...) (Read More)

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Recruitment algorithms for vehicular sensor networks

Fabio Campioni, Salimur Choudhury, Usman Tariq, Ali Kashif Bashir

Computer Communications · 2020

Operations research | Mathematical optimization | Real-time computing |

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