Next generation passive optical networking technology predictions by using hybrid MCDM methods

Chi Yo Huang, Shih Yu Chang, Yu Hsien Yang, Gwo Hshiung Tzeng

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The evolution of broadband telecommunication technologies has enabled applications over networks, which, in turn, has enabled the emergence of novel network services and applications such as VoIP and video on demand in triggering demand for higher network bandwidth. Passive Optical Networking (PON) is suitable for eliminating bandwidth insufficiency, so national governments and communities are observing the emergence of Fiber-To-The-Home (FTTH) technologies. Ethernet-based Passive Optical Networks (EPON) and Gigabit-based PON (GPON) are two candidates for next-generation PON in bandwidth efficiency. To predict which is more suitable nationally, we define a foresight framework based on hybrid Multiple Criteria Decision Making (MCDM) methods for selecting the most suitable PON. The development of next-generation PON, including Ethernet PON (EPON) and Gigabit PON (GPON), is introduced and compared. Experts from industry and academia were invited to predict the most suitable next-generation PON for Japan and emerging economies such as Taiwan. Results showed that EPON is most suitable for Japan and GPON most suitable for Taiwan. Results for the technological foresight can serve as the basis for national telecommunication policy and business product definition.

Original languageEnglish
Pages (from-to)400-405
Number of pages6
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume15
Issue number4
DOIs
Publication statusPublished - 2011 Jun

Keywords

  • Multiple criteria decision making (MCDM)
  • Networking
  • Technology foresight
  • Telecommunications

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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