Random Task Unit and Contribution Density (RTU_CD) based Technique for Crowd Sourcing Network
G Rajathilagam, K. Kavitha · 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) · 2020
The IoT paradigm supports a huge set of a tangible element is predominant in a wide range of applications. The sensor devices combine with the Internet of Things (IoT) and operate as robot system to carry out data congregating task. The IoT executes controlling objects, sensing devices and congregating data. In crowdsourcing network reducing the data collecting cost by IoT is not simple. In terms of profit, problems arise between the job circulator and the data reporter. In this paper, a novel framework called Random Task Unit based Contribution Density (RTU_CD) for crowd sourcing network has been proposed. The tasks are arranged on the basis of task unit bit and window based shuffling was carried out before the selection of task. This technique exploits the system profit. Experimental results predict that compared to the previous techniques, namely CMDCS and RTCDR, the system profit is improved by 94.1%.