Mobile Crowdsensing in Software Defined Opportunistic Networks

Abstract

Mobile crowdsensing is a new paradigm, sharing sensing data collected by mobile devices such as smartphones and tablets. As mobile devices are usually connected by an opportunistic network for data transfer, it is hard to acknowledge the contribution of each mobile user in network forwarding and find a sustainable incentive mechanism. In this article, we propose a software defined opportunistic network scheme for mobile crowdsensing. We design a centralized control structure to manage the opportunistic network and mobile crowdsensing. By the centralized structure, we also design an incentive mechanism for data forwarding and collection in a software defined opportunistic network and solve the optimal decision of mobile devices and the sensing service provider. From the extensive simulation results, our incentive mechanism performs better than original solutions.