Enabling Wireless Software Defined Networking in Cloud Based Machine-to-Machine Gateway

被引:0
|
作者
Al-Kaseem, Bilal R. [1 ]
Al-Raweshidy, Hamed S. [1 ]
机构
[1] Brunel Univ London, Dept Elect & Comp Engn, Coll Engn Design & Phys Sci, Wireless Networks & Commun Ctr, London, England
关键词
M2M; SDN; IoT; Cloud; Centralized Gateway;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Machine-to-Machine (M2M) and Internet-of-Things (IoT) buildup of a large number of devices that are capable of sensing or actuating and provide ubiquitous connectivity and processing to enhance the daily life activities. This paper proposes a wireless Software Defined Networking (SDN) solution for M2M gateway based on the cloud environment. The proposed approach takes the advantage of SDN in separating the control plane from the data plane in network devices and running the software component on centralized M2M gateway connected to the cloud. The proposed approach validated through experimental analysis testbed, the obtained result shows that SD-M2M gateway reduces the end-to-end delay by approximately 23% and 15% compared to M2M gateway without SDN in terms of data gathering and control command sending respectively. The proposed approach provides significant flexibility for network resource management.
引用
收藏
页码:24 / 29
页数:6
相关论文
共 50 条
  • [31] Software defined networking based network traffic classification using machine learning techniques
    Salau, Ayodeji Olalekan
    Beyene, Melesew Mossie
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [32] Machine Learning and Deep Learning Based Traffic Classification and Prediction in Software Defined Networking
    Mohammed, Ayse Rumeysa
    Mohammed, Shady A.
    Shirmohammadi, Shervin
    [J]. 2019 IEEE INTERNATIONAL SYMPOSIUM ON MEASUREMENTS & NETWORKING (M&N 2019), 2019,
  • [33] Machine Learning Routing Protocol in Mobile IoT based on Software-Defined Networking
    Samadi, Raheleh
    Seitz, Jochen
    [J]. 2022 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS (IEEE NFV-SDN), 2022, : 108 - 111
  • [34] Optimized Virtual Resource Allocation in Random Access Procedure for Machine-to-Machine Communications in Software Defined Cellular Networks
    Wang, Zhuo
    Sun, Enchang
    Li, Meng
    Li, Jian
    Zhang, Yanhua
    [J]. AD HOC & SENSOR WIRELESS NETWORKS, 2018, 40 (1-2) : 97 - 118
  • [35] Machine-to-Machine Communications for Cloud-Based Energy Management Systems within SMEs
    Suciu, George
    Fratu, Octavian
    Necula, Lucian
    Pasat, Adrian
    Suciu, Victor
    [J]. 2016 IEEE 22ND INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY AND ELECTRONIC PACKAGING (SIITME), 2016, : 114 - 117
  • [36] AN ARCHITECTURE FOR SOFTWARE DEFINED WIRELESS NETWORKING
    Bernardos, Carlos J.
    de la Oliva, Antonio
    Serrano, Pablo
    Banchs, Albert
    Contreras, Luis M.
    Jin, Hao
    Zuniga, Juan Carlos
    [J]. IEEE WIRELESS COMMUNICATIONS, 2014, 21 (03) : 52 - 61
  • [37] Support Vector Machine meets Software Defined Networking in IDS domain
    Boero, Luca
    Marchese, Mario
    Zappatore, Sandro
    [J]. 2017 29TH INTERNATIONAL TELETRAFFIC CONGRESS (ITC 29), VOL 3, 2017, : 25 - 30
  • [38] Distributed Massive Wireless Access for Cellular Machine-to-Machine Communication
    Bayat, Siavash
    Li, Yonghui
    Han, Zhu
    Dohler, Mischa
    Vucetic, Branka
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 2767 - 2772
  • [39] In-Network Computations of Machine-to-Machine Communications for Wireless Robotics
    Fan-Min Tseng
    Chi-Heng Lin
    Kwang-Cheng Chen
    [J]. Wireless Personal Communications, 2013, 70 : 1097 - 1119
  • [40] Battery Energy Management in Heterogeneous Wireless Machine-to-Machine Networks
    Liu, Kaikai
    Guo, Jianlin
    Orlik, Philip
    Parsons, Kieran
    Sawa, Kentaro
    [J]. 2015 IEEE 82ND VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2015,