CrowdSenSim: A simulation platform for mobile crowdsensing in realistic urban environments

Smart cities take advantage of recent Information and Communication Technology (ICT)developments to provide added value to existing public services and improve quality of life for the citizens.The Internet of Things (IoT) paradigm makes the Internet more pervasive where objects equipped withcomputing, storage, and sensing capabilities are interconnected with communication technologies. Becauseof the widespread diffusion of IoT devices, applying the IoT paradigm to smart cities is an excellentsolution to build sustainable ICT platforms. Having citizens involved in the process through mobilecrowdsensing (MCS) techniques augments capabilities of these ICT platforms without additional costs. Forproper operation, MCS systems require the contribution from a large number of participants. Simulationsare therefore a candidate tool to assess the performance of MCS systems. In this paper, we illustrate thedesign of CrowdSenSim, a simulator for mobile crowdsensing. CrowdSenSim is designed specifically forrealistic urban environments and smart cities services. We demonstrate the effectiveness of CrowdSenSim forthe most popular MCS sensing paradigms (participatory and opportunistic), and we present its applicabilityusing a smart public street lighting scenario.