oneM2M architecture based IoT framework for mobile crowd sensing in smart cities

Abstract

The futuristic smart cities must have the capabilities to withstand the growing challenges on the urban infrastructure in terms of public safety, resource management, co-operative mobility management and more. To tackle these challenges, the cities are increasingly using next generation information and communication technologies (ICT). A plethora of the ICT based innovations are taking place on a wide range of domains - (i) cloud and mobile edge computing, (ii) sensing and actuation, (iii) low power communication, (iv) mobile crowd sensing and (v) big data analysis. These can be united under the umbrella of IoT and Machine-to-Machine (M2M) Communications. This paper introduces an efficient MCS enabled IoT framework for the smart cities. Co-operative crowd sensing coupled with a data centric approach can provide a uniform mechanism to mitigate many challenges faced by the smart cities. We also discuss integration of the mentioned IoT framework into oneM2M standard architecture. The three main contributions of the work are - (i) inclusion of a power aware mobile application development framework making crowd sensing applications context aware and (ii) a data driven approach for co-operative crowd sensing that creates actionable intelligence from raw data and (iii) deployment capabilities at cloud and edge computing platforms.