Towards Scalability of Dense Sensor Networks: A Software-Defined Networking Approach

  • Paulson Eberechukwu, N.; 
  • Kang, Jeongwan; 
  • Yusof, Kamaludin Muhamad; 
  • Din, Jafri Bin; 
  • Kim, Sunwoo
Citations

SCOPUS

6

초록

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.

키워드

controller placement; dense networks; multi-objective optimization; sensor networks; Software-defined networking; Controllers; Cost functions; Decision making; Economic and social effects; Multiobjective optimization; Quality of service; Scalability; Sensor networks
제목
Towards Scalability of Dense Sensor Networks: A Software-Defined Networking Approach
저자
Paulson Eberechukwu, N.; Kang, Jeongwan; Yusof, Kamaludin Muhamad; Din, Jafri Bin; Kim, Sunwoo
DOI
10.1109/MICC59384.2023.10419610
발행일
2023-12
유형
Conference paper
저널명
2023 IEEE 16th Malaysia International Conference on Communication: Smart Digital Communication for Humanity, MICC 2023 - Proceedings
페이지
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