An intelligent load balancing and offloading in 3G - WiFi offload network using hybrid and distance vector algorithm

Muhamad Asvial, Setiyo Budiyanto, Dadang Gunawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The routing protocol is able to improve the performance of the network as compared to the traditional 3G and WiFi offload. On this study, the concept Genetic Zone Routing Protocol (GZRP) will be combined with the VHO algortihm used at the multiple base stations in 3G-WiFi offload network. Based on the results of this simulation the proposed algorithm can improve troughput and reduce handover delay. In terms of handover time, there is a significant improvement when the combined algorithm is employed as compared to the VHO algorithm alone, which shows a decrease of 2.757 seconds for the average handover time from 3G to WiFi and 3.824 seconds for the average handover time from WiFi to 3G.

Original languageEnglish
Title of host publication2014 IEEE Symposium on Wireless Technology and Applications, ISWTA 2014
PublisherIEEE Computer Society
Pages36-40
Number of pages5
ISBN (Electronic)9781479954360
DOIs
Publication statusPublished - 9 Dec 2014
Event2014 IEEE Symposium on Wireless Technology and Applications, ISWTA 2014 - Kota Kinabalu, Malaysia
Duration: 28 Sep 20141 Oct 2014

Publication series

NameIEEE Symposium on Wireless Technology and Applications, ISWTA
ISSN (Print)2324-7843
ISSN (Electronic)2324-7851

Conference

Conference2014 IEEE Symposium on Wireless Technology and Applications, ISWTA 2014
CountryMalaysia
CityKota Kinabalu
Period28/09/141/10/14

Keywords

  • 3G - WiFi offload
  • AOMDV
  • VHO
  • load balancing
  • mobilene ad-hoc network

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  • Cite this

    Asvial, M., Budiyanto, S., & Gunawan, D. (2014). An intelligent load balancing and offloading in 3G - WiFi offload network using hybrid and distance vector algorithm. In 2014 IEEE Symposium on Wireless Technology and Applications, ISWTA 2014 (pp. 36-40). [6981191] (IEEE Symposium on Wireless Technology and Applications, ISWTA). IEEE Computer Society. https://doi.org/10.1109/ISWTA.2014.6981191