A proxy-based collaboration system to minimize content download time and energy consumption

Insun Jang, Gwangwoo Park, Dongeun Suh, Sangheon Pack, Gyorgy Dan

Research output: Contribution to journalArticle

Abstract

Mobile collaborative community (MCC) is an emerging technology that allows multiple mobile nodes (MNs) to perform a resource intensive task, such as large content download, in a cooperative manner. In this paper, we introduce a proxy-based collaboration system for the MCC where a content proxy (CProxy) determines the amount of chunks and the sharing order scheduled to each MN, and the received chunks are shared among MNs via Wi-Fi Direct. We formulate a multi-objective optimization problem to minimize both the collaborative content download time and the energy consumption in an MCC, and propose a heuristic algorithm for solving the optimization problem. Extensive simulations are carried out to evaluate the effects of the number of MNs, the wireless bandwidth, the content size, and dynamic channel conditions on the content download time and the energy consumption. Our results demonstrate that the proposed algorithm can achieve near-optimal performance and significantly reduce the content download time and has an energy consumption comparable to that of other algorithms.

Original languageEnglish
Article number7589071
Pages (from-to)2105-2117
Number of pages13
JournalIEEE Transactions on Mobile Computing
Volume16
Issue number8
DOIs
Publication statusPublished - 2017 Aug 1

Keywords

  • content download
  • Mobile collaborative community
  • proxy-based collaboration system
  • α-local search of sharing order (α-LSSO)

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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