Meta‐Heuristic Aided Multi‐Agent‐Based Method for QoS Improvement in SDN‐Smart Grids
Marjan Keramati, Nasser Mozayani · International Journal of Communication Systems · 2025
ABSTRACT Smart grid networks as the next generation of distributed grid systems demand diverse Quality of Service (QoS) requirements. In the case of time‐critical services, going beyond the delay threshold leads to the malfunction of the entire network. Software‐defined Networking (SDN) is supposed to improve the QoS of smart grids. But, issues such as traffic prioritization require traffic management policies, which are not provided in software‐defined networks. Accordingly, in this paper, in order to prevent blackout and burnout in smart grid networks, a mechanism is introduced for QoS amendment in Software‐defined‐enabled Smart Grids (SDN‐SG). Providing the QoS‐aware dynamic controllers' load‐balancing mechanism in SDN‐SG is one primary innovation of this paper. Because it reduces the packet loss rate for time‐critical services. The idea is equivalent to the dynamic QoS‐aware controller placement in an sdn‐enabled network, which is an NP‐hard problem. Another novelty of this paper is ameliorating such an NP‐hard complexity and diminishing the overhead of controller placement. It is done by multi‐agent negotiations in holonic organization. Such an improvement in computational complexity contributes significantly to the QoS improvement. The superiority of the paper over similar relevant research is demonstrated by numerical analysis in terms of the degree of controllers' load‐balancing, diminishing packet loss rate, improving delay, and reducing the controller placement overhead.