Towards Scalability of Dense Sensor Networks: A Software-Defined Networking Approach
- Authors
- Paulson Eberechukwu, N.; Kang, Jeongwan; Yusof, Kamaludin Muhamad; Din, Jafri Bin; Kim, Sunwoo
- Issue Date
- Dec-2023
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- controller placement; dense networks; multi-objective optimization; sensor networks; Software-defined networking
- Citation
- 2023 IEEE 16th Malaysia International Conference on Communication: Smart Digital Communication for Humanity, MICC 2023 - Proceedings, pp 1 - 5
- Pages
- 5
- Indexed
- SCOPUS
- Journal Title
- 2023 IEEE 16th Malaysia International Conference on Communication: Smart Digital Communication for Humanity, MICC 2023 - Proceedings
- Start Page
- 1
- End Page
- 5
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/196493
- DOI
- 10.1109/MICC59384.2023.10419610
- ISSN
- 0000-0000
- Abstract
- This work proposes an efficient controller placement algorithm in SDN to address scalability challenges in dense sensor networks. An important question must be answered: given network topology, how many controllers are needed, and where should they be placed to satisfy network-specific requirements? This requires the decision-maker to define a set of objectives that must be considered during placement. In this work, the Min-Max weight determination optimization was implemented to address the trade-offs involved in a two-objective optimization problem where a cost function of multiple constraints is minimized over a single variable. Our proposed approach guaranteed QoS (in terms of latency and controller load) in dense sensor network scenarios compared to state-of-The-Art methods.
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- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

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