Load balancing algorithm based-SDN for the IoT applications
Autor: | Hind Sounni, Najib El Kamoun, Fatima Lakrami |
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Rok vydání: | 2021 |
Předmět: |
Control and Optimization
Computer Networks and Communications Computer science business.industry Network Load Balancing Load balancing (computing) Hardware and Architecture Signal Processing Resource allocation Network performance Electrical and Electronic Engineering Internet of Things business Software-defined networking Algorithm Mobile device Information Systems |
Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 21:1209 |
ISSN: | 2502-4760 2502-4752 |
DOI: | 10.11591/ijeecs.v21.i2.pp1209-1217 |
Popis: | Nowadays, the emergence of the Internet of things devices has wholly revolutionized the customer's communication habits. The information can be collected at any time and anywhere. However, the mobility of communication devices in a dense network results inseveral problems, such as unbalanced network load and increased bandwidth demands, which decrease the network performance. To deal with these issues, this paper proposes a new load balancing algorithm based on the software-defined Network to enhance the performance of mobile devices communication over a Wi-Fi network. The use of the software-defined network automatizes the configuration of the network through a centralized controller; it provides programmability and an overall view of the network, along with optimizing resource allocation based on real-time network information, which facilitates the implementation of our algorithm. The proposed algorithm is implemented and evaluated through simulation using mininet-WiFi. The results indicate that our proposed method provides an efficient network load balancing and improves performancdevices' performance. |
Databáze: | OpenAIRE |
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