Mobile crowd sensing: an emerging paradigm for internet of things
by Zhonghai Wang; Xiaoya Xu; Keliang Zhou; Hu Cai
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 10, No. 2, 2017

Abstract: The smartphone and mobile devices are gradually becoming the most widely distributed sensor nodes. The nodes communicate with others to form the mobile ad hoc network, which provides network infrastructure for context-awareness and supports mobile crowd sensing (MCS). In our view, MCS can be considered as an emerging paradigm for internet of things. The remote server is a collection of service applications. With the support of mobile cloud computing (MCC) services, devices based on sensors constitute a people-centric ubiquitous MCS for convenient collection of context-aware information. In this paper, we implement the conceptual MCS architecture with the support of MCC and the remote server system architecture with context-awareness. Then we analyses the infrastructure and features of MCS for context-awareness. A paradigm regarding intelligent transportation system (ITS) with cloud-assisted MCS support has been proposed to integrate and share resources of ITS and social network in a large degree through MCC and cloud of cloud. The rest of the paper reviews the possible attacks, security issues and challenges.

Online publication date: Thu, 22-Jun-2017

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