Descriptive Study and Analysis Of Crowd Sourcing Techniques in Mobile Social Media Networks

Abstract

Nowadays wearable devices and smartphones have been embedded with sensors, like microphones, global positioning systems (GPS), thermometers, cameras, and accelerometers, which use a sensing paradigm, called mobile crowd sensing. Several individuals employ their mobile devices for extracting and sharing data corresponding to their wish. Mobile crowd sensing is advantaged over traditional sensor networks because of its extensive coverage, high sensing accuracy, and low cost,. Accordingly, this survey presents a distinct mobile crowd sensing techniques. Thus, this review article provides a detailed review of 25 research papers showing the mobile crowd sensing techniques, like task assignment-based methods, group-based recruitment system, green mobile crowd sensing-based techniques and so on. Moreover, an elaborative analysis and discussion are made concerning the evaluation metrics, employed methods, utilized datasets, a tool for implementation, publication year, and energy consumption. Eventually, the research gaps and issues of various mobile crowd sensing techniques are presented for extending the researchers towards a better future scope.