首页    期刊浏览 2024年07月22日 星期一
登录注册

文章基本信息

  • 标题:Software-Defined Networks (SDNs) and Internet of Things (IoTs): A Qualitative Prediction for 2020
  • 本地全文:下载
  • 作者:Sahrish Khan Tayyaba ; Munam Ali Shah ; Naila Sher Afzal Khan
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:11
  • DOI:10.14569/IJACSA.2016.071151
  • 出版社:Science and Information Society (SAI)
  • 摘要:The Internet of Things (IoT) is imminent technology grabbing industries and research attention with a fast stride. Currently, more than 15 billion devices are connected to the Internet and this number is expected to reach up to 50 billion by 2020. The data generated by these IoT devices are immensely high, creating resource allocation, flow management and security jeopardises in the IoT network. Programmability and centralised control are considered an alternative solution to address IoT issues. On the other hand, a Software Define Network (SDN) provides a centralised and programmable control and management for the underlying network without changing existing network architecture. This paper surveys the state of the art on the IoT integration with the SDN. A comprehensive review and the generalised solutions over the period 2010-2016 is presented for the different communication domains. Furthermore, a critical review of the IoT and the SDN technologies, current trends in research and the futuristic contributing factors form part of the paper. The comparative analysis of the existing solutions of SDN based IoT implementation provides an easy and concise view of the emerging trends. Lastly, the paper predicts the future and presents a qualitative view of the world in 2020.
  • 关键词:thesai; IJACSA Volume 7 Issue 11; SDN; IoT; Integration of SDN-IoT; WSN; LTE; M2M communication; NFV
国家哲学社会科学文献中心版权所有