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

Fingerprint

Energy utilization
Wi-Fi
Heuristic algorithms
Multiobjective optimization
Bandwidth

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

Cite this

A proxy-based collaboration system to minimize content download time and energy consumption. / Jang, Insun; Park, Gwangwoo; Suh, Dongeun; Pack, Sangheon; Dan, Gyorgy.

In: IEEE Transactions on Mobile Computing, Vol. 16, No. 8, 7589071, 01.08.2017, p. 2105-2117.

Research output: Contribution to journalArticle

Jang, Insun ; Park, Gwangwoo ; Suh, Dongeun ; Pack, Sangheon ; Dan, Gyorgy. / A proxy-based collaboration system to minimize content download time and energy consumption. In: IEEE Transactions on Mobile Computing. 2017 ; Vol. 16, No. 8. pp. 2105-2117.
@article{2592a49e53cd4ce3aa856a8cc8f862e7,
title = "A proxy-based collaboration system to minimize content download time and energy consumption",
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.",
keywords = "content download, Mobile collaborative community, proxy-based collaboration system, α-local search of sharing order (α-LSSO)",
author = "Insun Jang and Gwangwoo Park and Dongeun Suh and Sangheon Pack and Gyorgy Dan",
year = "2017",
month = "8",
day = "1",
doi = "10.1109/TMC.2016.2616871",
language = "English",
volume = "16",
pages = "2105--2117",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",

}

TY - JOUR

T1 - A proxy-based collaboration system to minimize content download time and energy consumption

AU - Jang, Insun

AU - Park, Gwangwoo

AU - Suh, Dongeun

AU - Pack, Sangheon

AU - Dan, Gyorgy

PY - 2017/8/1

Y1 - 2017/8/1

N2 - 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.

AB - 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.

KW - content download

KW - Mobile collaborative community

KW - proxy-based collaboration system

KW - α-local search of sharing order (α-LSSO)

UR - http://www.scopus.com/inward/record.url?scp=85024478014&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85024478014&partnerID=8YFLogxK

U2 - 10.1109/TMC.2016.2616871

DO - 10.1109/TMC.2016.2616871

M3 - Article

AN - SCOPUS:85024478014

VL - 16

SP - 2105

EP - 2117

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

IS - 8

M1 - 7589071

ER -