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User Incentivization in Mobile Crowdsensing Systems

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Mission-Oriented Sensor Networks and Systems: Art and Science

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 164))

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Abstract

In this chapter, we present basic design issues of mobile crowdsensing systems (MCS) and investigate some characteristic challenges. We define the basic components of an MCS (the task, the server and the crowd), investigate the functions describing/governing their interactions and identify three qualitatively different types of tasks. For a given type of task, and a finite budget, the server makes offers to the agents of the crowd based on some incentive policy. On the other hand, each agent that receives an offer decides whether it will undertake the task or not, based on the inferred cost (computed via a Cost function) and some join policy. In their policies, the crowd and the server take into account several aspects, such as the number and quality of participating agents, the progress of execution of the task and possible network effects, present in real-life systems. We evaluate the impact and the performance of selected characteristic policies, for both the crowd and the server, in terms of task execution, budget efficiency and workload balance of the crowd. Experimental findings demonstrate key performance features of the various policies and indicate that some policies are more effective in enabling the server to efficiently manage its budget while providing satisfactory incentives to the crowd and effectively executing the system tasks. Interestingly, incentive policies that take into account the current crowd participation achieve a better trade-off between task completion and budget expense.

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Author information

Authors and Affiliations

  1. Bournemouth University, Bournemouth, UK

    Constantinos Marios Angelopoulos

  2. Department of Computer Engineering and Informatics, University of Patras and Computer Technology Institute and Press Diophantus (CTI), Patras, Greece

    Sotiris Nikoletseas

  3. Institute of Informatics and Telematics, National Research Council, Pisa, Italy

    Theofanis P. Raptis

  4. University of Geneva, Geneva, Switzerland

    José Rolim

Authors
  1. Constantinos Marios Angelopoulos
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  2. Sotiris Nikoletseas
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  3. Theofanis P. Raptis
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  4. José Rolim
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Corresponding author

Correspondence to Theofanis P. Raptis .

Editor information

Editors and Affiliations

  1. Wireless Sensor and Mobile Ad-hoc Network Applied Cryptography Engineering (WiSeMAN-ACE) Research Lab, Department of Electrical Engineering and Computer Science, Frank H. Dotterweich College of Engineering, Texas A&M University-Kingsville, Kingsville, TX, USA

    Habib M. Ammari

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Marios Angelopoulos, C., Nikoletseas, S., Raptis, T.P., Rolim, J. (2019). User Incentivization in Mobile Crowdsensing Systems. In: Ammari, H. (eds) Mission-Oriented Sensor Networks and Systems: Art and Science. Studies in Systems, Decision and Control, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-319-92384-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-92384-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92383-3

  • Online ISBN: 978-3-319-92384-0

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