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A framework for smart estimation of demand-supply for crowdsource management using WSN

Published: 22 March 2017 Publication History

Abstract

Crowdsource management imposes many challenges including varying degree of demands for food and daily routine consumables. The explicit problem for estimating increase or decrease in demand arises when crowd moves dynamically to different locations with respect to time. This may result in wastage or shortage of many resources and loss for various stakeholders. To overcome the issue of demand estimation more precisely food demand and efficient supply, this paper proposes a conceptual framework to sense the data of crowd such as number of humans and update the suppliers timely. IoT and WSN techniques are used to count the number of humans in crowd at some particular area with respect to time for food demand estimation.

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  • (2022)An Intelligent Cluster Verification Model Using WSN to Avoid Close Proximity and Control Outbreak of Pandemic in a Massive CrowdComputer Modeling in Engineering & Sciences10.32604/cmes.2022.020791133:2(327-350)Online publication date: 2022
  • (2022)Solving Hajj and Umrah Challenges Using Information and Communication Technology: A SurveyIEEE Access10.1109/ACCESS.2022.319085310(75404-75427)Online publication date: 2022
  • (2021)Wireless Sensor Networks Simulation Model to Compute Verification Time in Terms of Groups for Massive CrowdAdvances in Science, Technology and Engineering Systems Journal10.25046/aj06011406:1(1229-1240)Online publication date: Feb-2021
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cover image ACM Other conferences
ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing
March 2017
1349 pages
ISBN:9781450347747
DOI:10.1145/3018896
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 March 2017

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Author Tags

  1. IoT
  2. WSN
  3. crowdsource
  4. demand-supply
  5. estimation

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  • Research-article

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ICC '17

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ICC '17 Paper Acceptance Rate 213 of 590 submissions, 36%;
Overall Acceptance Rate 213 of 590 submissions, 36%

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Cited By

View all
  • (2022)An Intelligent Cluster Verification Model Using WSN to Avoid Close Proximity and Control Outbreak of Pandemic in a Massive CrowdComputer Modeling in Engineering & Sciences10.32604/cmes.2022.020791133:2(327-350)Online publication date: 2022
  • (2022)Solving Hajj and Umrah Challenges Using Information and Communication Technology: A SurveyIEEE Access10.1109/ACCESS.2022.319085310(75404-75427)Online publication date: 2022
  • (2021)Wireless Sensor Networks Simulation Model to Compute Verification Time in Terms of Groups for Massive CrowdAdvances in Science, Technology and Engineering Systems Journal10.25046/aj06011406:1(1229-1240)Online publication date: Feb-2021
  • (2020)A Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and EventsAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0506515:6(423-438)Online publication date: Nov-2020
  • (2019)A Framework for Smart Capacity Estimation at Crowded Area using WSN2019 International Arab Conference on Information Technology (ACIT)10.1109/ACIT47987.2019.8991037(159-164)Online publication date: Dec-2019
  • (2019)RETRACTED CHAPTER: A Survey on Software-Defined Networks and Edge Computing over IoTHighlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection10.1007/978-3-030-24299-2_25(289-301)Online publication date: 2019

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