Quality of Contributed Service and Market Equilibrium for Participatory Sensing
User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured by sensors, typically those on a smartphone, and share the information with others. We propose a new metric called Quality of Contributed Service (QCS) which characterizes the information quality and timeliness of a specific real-time sensed quantity achieved in a participatory manner. Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a market-based framework for participatory sensing with plausible models of the market participants comprising data contributors, service consumers and a service provider. We analyze the market equilibrium and obtain closed form expressions for the resulting QCS at market equilibrium. Next, we examine the effects of realistic behaviors of the market participants and the nature of the market equilibrium that emerges through extensive simulations. Our results show that, starting from purely random behavior, the market and its participants can converge to the market equilibrium with good QCS within a short period of time.
C. Tham and T. T. Luo, "Quality of Contributed Service and Market Equilibrium for Participatory Sensing," Proceedings of the 9th IEEE International Conference on Distributed Computing in Sensor Systems (2013, Cambridge, MA), pp. 133-140, Institute of Electrical and Electronics Engineers (IEEE), May 2013.
The definitive version is available at https://doi.org/10.1109/DCOSS.2013.54
9th IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 2013 (2013: May 21-23, Cambridge, MA)
Keywords and Phrases
market-based mechanisms; participatory sensing; quality of information
Article - Conference proceedings
© 2013 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.