Urban Monitoring Using Participatory Sensing: An Optimal Budget Allocation Approach

Sarma, Siddhartha and Kandhway, Kundan and Kotnis, Bhushan and Kuri, Joy (2016) Urban Monitoring Using Participatory Sensing: An Optimal Budget Allocation Approach. In: 8th International Conference on Communication Systems and Networks (COMSNETS), JAN 05-10, 2016, Bangalore, INDIA.

PDF COMSNETS_1_2016.pdf - Published Version Restricted to Registered users only Download (612kB) | Request a copy

Abstract

We study a budget allocation problem for urban monitoring (e.g., pollution, litter etc.) using participatory sensing. The human participants and locations of phenomena to be sensed are modeled as Poisson point processes. The decision maker (e.g., city authority) has to decide the split of budget among strategies-advertisements to recruit participants, and providing rewards to those participants for their efforts in reporting the events. We propose and analyse three schemes for rewarding participants-equal, proportional and probabilistic. The probabilistic scheme exploits risk seeking behavior of participants, which is a typical human psychological behavior studied in the Prospect theory. Analytical and numerical study of the proposed schemes uncovers useful insights such as, for the equal reward scheme, advertisement for recruiting more individuals is preferable than increasing rewards for the recruited individuals. However, the opposite is true for the other two schemes.

Item Type:	Conference Proceedings
Series.:	International Conference on Communication Systems and Networks
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	22 Oct 2016 09:11
Last Modified:	22 Oct 2016 09:11
URI:	http://eprints.iisc.ac.in/id/eprint/54986

Actions (login required)

View Item