Efficiency Analysis of WiFi Offloading Techniques

Dongeun Suh, Haneul Ko, Sangheon Pack

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

WiFi offloading is a promising technique for addressing the mobile data explosion problem. In this paper, we consider two types of WiFi offloading techniques: 1) opportunistic WiFi offloading, where data offloading is conducted only when a mobile node opportunistically meets WiFi access points (APs); and 2) delayed WiFi offloading, where data transfer is delayed with the expectation of future AP contacts. We developed analytical models on WiFi offloading efficiency, which is defined as the ratio of the amount of offloaded data to the total amount of data. Extensive simulation results are given to validate the analytical models and to demonstrate the effects of the average cellular residence time, the delay bound, the variability of the WiFi residence time, the WiFi data rate, and the average session duration on WiFi offloading efficiency.

Original languageEnglish
Article number7112504
Pages (from-to)3813-3817
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume65
Issue number5
DOIs
Publication statusPublished - 2016 May 1

Fingerprint

Wi-Fi
Analytical models
Point contacts
Data transfer
Explosions
Residence Time
Analytical Model
Data Transfer
Explosion
Contact

Keywords

  • Delayed WiFi offloading
  • efficiency analysis
  • opportunistic WiFi contact
  • opportunistic WiFi offloading

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Computer Networks and Communications
  • Applied Mathematics

Cite this

Efficiency Analysis of WiFi Offloading Techniques. / Suh, Dongeun; Ko, Haneul; Pack, Sangheon.

In: IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, 7112504, 01.05.2016, p. 3813-3817.

Research output: Contribution to journalArticle

Suh, Dongeun ; Ko, Haneul ; Pack, Sangheon. / Efficiency Analysis of WiFi Offloading Techniques. In: IEEE Transactions on Vehicular Technology. 2016 ; Vol. 65, No. 5. pp. 3813-3817.
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