On Data Persistence Models for Mobile Crowdsensing Applications

Conference paper

DOI: 10.1007/978-3-319-57135-5_14

Part of the Communications in Computer and Information Science book series (CCIS, volume 706)
Cite this paper as:
Namiot D., Sneps-Sneppe M. (2017) On Data Persistence Models for Mobile Crowdsensing Applications. In: Kalinichenko L., Kuznetsov S., Manolopoulos Y. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2016. Communications in Computer and Information Science, vol 706. Springer, Cham

Abstract

In this paper, we discuss various models and solutions for saving data in crowdsensing applications. A mobile crowdsensing is a relatively new sensing paradigm based on the power of the crowd with the sensing capabilities of mobile devices, such as smartphones, wearable devices, cars with mobile equipment, etc. This conception (paradigm) becomes quite popular due to huge penetration of mobile devices equipped with multiple sensors. The conception enables to collect local information from individuals (they could be human persons or things) surrounding environment with the help of sensing features of the mobile devices. In our paper, we provide a review of the data persistence solutions (back-end systems, data stores, etc.) for mobile crowdsensing applications. The main goal of our research is to propose a software architecture for mobile crowdsensing in Smart City services. The deployment for such kind of applications in Russia has got some limitations due to legal restrictions also discussed in our paper.

Keywords

Crowdsensing Mobile Cloud Context-aware 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussia
  2. 2.Ventspils International Radioastronomy CentreVentspils University CollegeVentspilsLatvia

Personalised recommendations