Abstract
Mobile Crowdsourcing System (MCS) has emerged as an effective method for data collection and processing. In this paper, a brief discussion of the concept of Mobile Crowdsourcing system has been given where the main criteria of MCS is followed. The government or the census bureau performs the role of end user, the internet provider and some monitoring supervisor performs the role of service provider and the smart phone users can perform the role of worker. The whole country has been divided into some regions for counting the population, each region has been divided into several sub-regions. There will be a supervisor in each sub-region with a number of selected workers who will be checked on their own reliability and authentication on the basis of verification of personal information. An authenticated worker can collect information from a sub-region and the supervisor is able to determine the location of the worker. After collecting information, redundancy is checked using National Identity or birth registration number and stored after completing the verification process and used to make statistics including total population, population density, rate of birth, rate of death, rate of literacy etc. Population and household census process is a more important issue for the country. So, a census system or model has been proposed and designed for performing the whole census process with more authentication that reduce cost and time and make a faster calculation.
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https://digital.gov/2013/12/03/census-mobile-app-showcases-localstatistics/
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Mukul, I.H., Hasan, M., Zahid Hassan, M. (2021). An Evolutionary Population Census Application Through Mobile Crowdsourcing. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_84
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DOI: https://doi.org/10.1007/978-3-030-68154-8_84
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