Deakin University
Browse

File(s) under permanent embargo

Mobile crowdsourcing in peer-to-peer opportunistic networks: energy usage and response analysis

journal contribution
posted on 2016-05-01, 00:00 authored by J Phuttharak, Seng LokeSeng Loke
With the popularity of mobile social networking and the emergence of ideas such as participatory sensing, mobile crowdsourcing has the potential to help tackle new problems in relation to real-time data collection and coordination among a large number of participants. Due to the unreliability and dynamic behavior of mobile opportunistic networks, there are several key issues concerning the development of crowdsourcing-related mobile applications that need to be considered. In this paper, we investigate task propagation models devised to support mobile crowdsourcing in intermittently connected opportunistic networks. The propagation strategy is used to disseminate tasks among a crowd of peers. We investigate response models (i.e., to estimate the number of responses to expect in the network) and energy consumption models (for estimating the energy used by both a task-originator and workers) and study their behavior under different conditions in comprehensive simulations. The findings will show the interplay and relationships between mobile crowdsourcing factors and the number of peers responding and energy consumption.

History

Journal

Journal of network and computer applications

Volume

66

Pagination

137 - 150

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

1084-8045

Language

eng

Publication classification

C Journal article; C1.1 Refereed article in a scholarly journal

Copyright notice

2016, Elsevier