In this paper, we draw an analogy between crowd-sensing scenarios and the real life activity of singing in a choir. We identify some similarities, in particular for what concerns the role of the network coordinator and the choir director, as well as the common desirability of eliminating non-collaborative behavior (free-riding). Inspired by this comparison, we identify some strategies that the "director"can implement during "choir rehearsals"and we give a game theoretic analysis of their effectiveness. The general model is based on characterizing the willingness to undertake effort for the common task as a user's private type, which is compared to the contribution cost to decide whether to contribute or free-ride. Imposing some access penalty is known to reduce significantly the onset of free-riding, and we discuss possible ways to implement such a penalty, namely, we compare a probabilistic exclusion of free riders, as well as a multiplicative and an additive penalty to access, and we show the better effectiveness of the last strategy.

Crowdsensing Strategies Inspired by Choir Management Analyzed via Game Theory

Badia L.
;
Borra N.
2020

Abstract

In this paper, we draw an analogy between crowd-sensing scenarios and the real life activity of singing in a choir. We identify some similarities, in particular for what concerns the role of the network coordinator and the choir director, as well as the common desirability of eliminating non-collaborative behavior (free-riding). Inspired by this comparison, we identify some strategies that the "director"can implement during "choir rehearsals"and we give a game theoretic analysis of their effectiveness. The general model is based on characterizing the willingness to undertake effort for the common task as a user's private type, which is compared to the contribution cost to decide whether to contribute or free-ride. Imposing some access penalty is known to reduce significantly the onset of free-riding, and we discuss possible ways to implement such a penalty, namely, we compare a probabilistic exclusion of free riders, as well as a multiplicative and an additive penalty to access, and we show the better effectiveness of the last strategy.
2020
2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020
978-1-7281-9656-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3392415
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