“…Taking advantage of the programmability provided by SDN technologies, previous work [22] proposes to use this paradigm in IEC 61850-based systems in order to implement QoS, traffic filtering, load balancing, etcetera.…”
Section: Openflow As a Wireless Control Protocolmentioning
confidence: 99%
“…• Using 802.11g transmission standard, which operates in the 2.4 GHz band and at 22 Mbit/s average throughput.…”
The deployment of wireless networks in critical industrial environments must ensure the availability of monitoring and control applications, for which it is essential to exploit redundancy techniques. In order to reduce to zero the failover time, in this paper, the Parallel Redundancy Protocol (PRP) is used in Wireless Local Area Networks (WLAN) which are implemented under the Software-Defined Networking (SDN) paradigm. It is discussed how the OpenFlow protocol allows an external controller to configure redundant paths between dualhomed devices. As a result, critical services can be protected in interference and mobility situations. The improvement in availability has been obtained by using both emulation and simulation.
“…Taking advantage of the programmability provided by SDN technologies, previous work [22] proposes to use this paradigm in IEC 61850-based systems in order to implement QoS, traffic filtering, load balancing, etcetera.…”
Section: Openflow As a Wireless Control Protocolmentioning
confidence: 99%
“…• Using 802.11g transmission standard, which operates in the 2.4 GHz band and at 22 Mbit/s average throughput.…”
The deployment of wireless networks in critical industrial environments must ensure the availability of monitoring and control applications, for which it is essential to exploit redundancy techniques. In order to reduce to zero the failover time, in this paper, the Parallel Redundancy Protocol (PRP) is used in Wireless Local Area Networks (WLAN) which are implemented under the Software-Defined Networking (SDN) paradigm. It is discussed how the OpenFlow protocol allows an external controller to configure redundant paths between dualhomed devices. As a result, critical services can be protected in interference and mobility situations. The improvement in availability has been obtained by using both emulation and simulation.
“…The management software for the SDN controller can be categorized into two types, namely open-source-based and commercial systems. Nox [39] and Floodlight [12] are the most famous SDN control software frameworks that can handle the request and response messages that are sent between the application layer and network layer [39]. The SDN controller determines the network policy using an SDN application, and it maintains the flow information, route, forwarding strategy, topology and network status.…”
Section: Potential Benefits Of the Sdn-enabled Smart Gridmentioning
confidence: 99%
“…According to some smart grid researchers [12][13][14][15], communication technologies first need to be further developed, and they predict that software-defined networking (SDN) will allow information exchange in different network platforms, different layers and provide the adaption of new business models of the smart grid without hardware replacement. In addition, they argue that the SDN-based smart grid will improve the system robustness by enhancing the reliability and optimization of the transmission asset utilization [13,15].…”
Context and situational awareness are key features and trends of the smart grid and enable adaptable, flexible and extendable smart grid services. However, the traditional hardware-dependent communication infrastructure is not designed to identify the flow and context of data, and it focuses only on packet forwarding using a pre-defined network configuration profile. Thus, the current network infrastructure may not dynamically adapt the various business models and services of the smart grid system. To solve this problem, software-defined networking (SDN) is being considered in the smart grid, but the design, architecture and system model need to be optimized for the smart grid environment. In this paper, we investigate the state-of-the-art smart grid information subsystem, communication infrastructure and its emerging trends and potentials, called an SDN-enabled smart grid. We present an abstract business model, candidate SDN applications and common architecture of the SDN-enabled smart grid. Further, we compare recent studies into the SDN-enabled smart grid depending on its service functionalities, and we describe further challenges of the SDN-enabled smart grid network infrastructure.
“…An OpenFlow simulat ion model has two key co mponents: OpenFlow switch and OpenFlow controller. These components channelized via the OpenFlo w protocol [14,15]. OpenFlo w Switches consists of Flow Tab les [FT1, FT2 ... FTn] and Group Table [GT] and perform packet lookups and forwarding [23].…”
Section: A Open Programming Extended Network (Openflow) Architecturementioning
Abstract-This Software defined networks helps to realize extraordinary services that can be easily embedded in network operations of switch. It provokes the decomposition of the control and data planes. The control plane is more extensible, as it is unproblematic to change or introduce any new functionality into the network. It is studied that any new integration can be easily added up with a very low line of code (LOC). The work proposes a fuzzy based approach for traffic provisioning in SDN. Fu zzy Logic Control System (FLCS) is a controller co mp rising of two fuzzy systemsLabel Switched Path setup System (LsS) and Traffic Splitting System (TSS). The co mputation of dynamic status of Load and Delay is utilized by LsS to arrange the paths in preference order. The attained Link Capacity and Utilizat ion Rate are emp loying by TSS for maintain ing congestion free path. Created three different topologies and performed ping reachability test and executed iperf testing tool for performance analysis on Mininet framework.The impact of this is to facilitate better decision making for splitting the traffic for different capable paths. Simulat ion setup is deployed using OpenFlow Switches and Controllers to study their performance. The packet delivery rat io remained above 98% , showing rare chances of congestion and delay was below than 2.6 seconds with TTL in range of 60-80 milliseconds.
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