SDN-based Handover in Future WLAN

Gilani, Syed Mushhad M.; Jin, Wenqiang; Tang, Hong; Zhao, Guofeng; Xu, Chuan

doi:10.14257/ijfgcn.2016.9.12.13

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The simulation results show that the proposed method's response time gives better results than the random load balance. The authors in [11] implement a load targeted handover (LTH) scheme to enhance mobility management by offering a seamless handover and balance the load by a targeted association with less loaded APs. In [12], the authors used a method based on the server response time; the server with the most stable response time is selected to ensure network load balancing.…”

Section: Introductionmentioning

confidence: 99%

Load balancing algorithm based-SDN for the IoT applications

Sounni

Kamoun

Lakrami

2021

IJEECS

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Nowadays, the emergence of IoT devices has wholly revolutionized the customer's communication habits. The information can be collected at anytime and anywhere. However, the mobility of communication devices in a dense network results in an unbalanced network load and an increase in bandwidth demands. To address these issues, this study proposed a load balancing algorithm based on SDN for enhancing the performance of mobile IoT devices communication over a Wi-Fi network. The use of the SDN makes possible the automatic configuration of the network through a centralized controller, it provides programmability, a global view of the network, it also optimizes resource allocation based on real-time network information that helps implement our algorithm. The proposed algorithm is evaluated through simulation using mininet. The results indicate that our proposed method provides an efficient network load balancing and improves the throughput of associated devices.

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Section: Introductionmentioning

confidence: 99%