Power network control and management

2009 ◽  
Author(s):  
Mohamed Hilal ◽  
Mohamed Maaroufi
Keyword(s):  
Network Control ◽  
Power Network ◽  
Control And Management

scholarly journals The Downside of Software-Defined Networking in Wireless Network

2020 ◽  
Vol 4 (2) ◽  
pp. 147-156
Author(s):  
Zahraa Saleh ◽  
Qahhar Qadir
Keyword(s):  
Low Power ◽  
Communication Networks ◽  
Data Extraction ◽  
Software Defined Networking ◽  
Network Control ◽  
Control Logic ◽  
High Loss ◽  
Traffic Volumes ◽  
High Level ◽  
Control And Management

Mobile traffic volumes have grown exponentially because of the increase in services and applications. Traditional networks are complex to manage because the forwarding, control, and management planes are all bundled together and, thus, administrators are supposed to deploy high-level policies, as each vendor has its own configuration methods. Software-Defined Networking (SDN) is considered the future paradigm of communication networks. It decouples control logic from its underlying hardware, thereby promoting logically centralized network control and making the network more programmable and easy to configure. Low-power wireless technologies are moving toward a multitenant and multiapplication Internet of Things (IoT), which requires an architecture with scalable, reliable, and configured solutions. However, employing an SDN-based centralized architecture in the environment of a low-power wireless IoT network introduces significant challenges, such as difficult-to-control traffic, unreliable links, network contention, and high associated overheads that can significantly affect the performance of the network. This paper is a contribution toward a performance evaluation for the use of SDN in wireless networking by evaluating the latency, packet drop ratio (PDR), data extraction rate (DER), and overheads. The results show that SDN adds a high percentage of overheads to the network, which is about 43% of the 57% user packets, and the DER drops when the number of mesh nodes are increased, in addition to the high loss that was observed for packets that traveled over more hops.

Network Control and Management Automation: Architecture Standardization Perspective

2021 ◽  
Vol 5 (3) ◽  
pp. 106-114
Author(s):  
Ved P. Kafle ◽  
Takahiro Hirayama ◽  
Takaya Miyazawa ◽  
Masahiro Jibiki ◽  
Hiroaki Harai
Keyword(s):  
Network Control ◽  
Control And Management

A 3N Approach to Network Control and Management

2012 ◽  
Author(s):  
Feng Zhao ◽  
Dan Zhao ◽  
Xiaofeng Hu ◽  
Wei Peng ◽  
Baosheng Wang ◽  
...  
Keyword(s):  
Network Control ◽  
Control And Management

On-line diagnosis tool for power network control centres using fuzzy concepts

2003 ◽  
Author(s):  
B. Valiquette ◽  
G.L. Torres ◽  
R.P. Malhame ◽  
D. Mukhedkar
Keyword(s):  
Network Control ◽  
Power Network ◽  
On Line ◽  
Diagnosis Tool
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