Research Article
Participants Ranking Algorithm for Crowdsensing in Mobile Communication
@ARTICLE{10.4108/eai.13-4-2018.154476, author={Tariq Ali and Javeria Noureen and Umar Draz and Ahmad Shaf and Sana Yasin and Muhammad Ayaz}, title={Participants Ranking Algorithm for Crowdsensing in Mobile Communication}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={5}, number={16}, publisher={EAI}, journal_a={SIS}, year={2018}, month={4}, keywords={Crowdsensing, Participant, Crowd Sourcing, Recruitments, User Pool.}, doi={10.4108/eai.13-4-2018.154476} }- Tariq Ali
Javeria Noureen
Umar Draz
Ahmad Shaf
Sana Yasin
Muhammad Ayaz
Year: 2018
Participants Ranking Algorithm for Crowdsensing in Mobile Communication
SIS
EAI
DOI: 10.4108/eai.13-4-2018.154476
Abstract
As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are flooding the internet with data that are everywhere and in any form. Crowd sensing is a new sensing model which depends on the strength of mobile devices. One of the key challenges in mobile crowd sensing system is multiple selections of participants with low priority to perform tasks. This research work presents the concept of Crowd sensing along with the raking process of participants from a large user pool. This article provides the efficient raking process of participants to assign the priorities for performing tasks in smooth manner.
Copyright © 2018 Tariq Ali et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
