SDN-Enabled traffic-aware load balancing for M2M networks

Yu Jia Chen, Li Chun Wang, Meng Chieh Chen, Pin Man Huang, Pei Jung Chung

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


This paper proposes a traffic-aware load balancing scheme for machine-to-machine (M2M) networks using software-defined networking (SDN). Load balancing techniques are essential for M2M networks to relieve the heavy loading caused by bursty traffic. Leveraging the capability of SDN to monitor and control the network, the proposed load balancing scheme can satisfy different quality of service requirements through traffic identification and rerouting. Experimental results show that the proposed scheme can reduce service response time up to 50% compared to the non-SDN load balancing scheme.

Original languageEnglish
Article number8307045
Pages (from-to)1797-1806
Number of pages10
JournalIEEE Internet of Things Journal
Issue number3
StatePublished - Jun 2018


  • Load balancing
  • machine-to-machine (M2M) networks
  • software-defined networking (SDN)


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