sis 18(16): e10

Research Article

Participants Ranking Algorithm for Crowdsensing in Mobile Communication

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  • @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
Tariq Ali1,*, Javeria Noureen2, Umar Draz2, Ahmad Shaf2, Sana Yasin2, Muhammad Ayaz3
  • 1: Computer Science Department, CIIT, Sahiwal, Pakistan
  • 2: Computer Science Department, CIIT, Sahiwal, Pakistan,
  • 3: Sensor Networks and Cellular Systems (SNCS) Research Centre, University of Tabuk, Tabuk, KSA
*Contact email: ariqali@ciitsahiwal.edu.pk

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.

Keywords
Crowdsensing, Participant, Crowd Sourcing, Recruitments, User Pool.
Received
2017-11-23
Accepted
2018-02-10
Published
2018-04-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.13-4-2018.154476

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.