Routing protocol design guidelines for smart grid environments

Temel, Şamil; Güngör, Vehbi Çağrı; Koçak, Taşkın

doi:10.1016/j.bjp.2013.11.009

Cited by 34 publications

(17 citation statements)

References 27 publications

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“…Survey articles dealing with communication aspects of SG are presented in [27]- [38]. Routing schemes and networking issues in SG have been discussed in [39], [40]. Demand response (DR) for SG is specifically discussed in [41]- [43].…”

Section: Comparison With Related Survey Articlesmentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

182

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The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC. We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC. Index Terms-Software defined network (SDN), smart grid (SG), advanced metering infrastructure (AMI), renewable energy resources (RERs), home area networks (HANs), network management.

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Section: Comparison With Related Survey Articlesmentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

182

View full text Add to dashboard Cite

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“…The combined challenges of dynamically evolving SG communications and the volatility in CR link connectivity make routing in CRbased SG systems highly challenging. The goal of routing research has been to develop efficient and appropriate routing protocol designs that include several components, e.g., a path determination scheme and a packet forwarding scheme [10], [225].…”

Section: Cr-based Routing Protocols For Smart Gridmentioning

confidence: 99%

“…• Establishing CR-based links with the IEEE 802.22 standard in SG networks does not require initial capital investment in the licensed spectrum as the long range (up to 100 km) of IEEE 802 22. WRANs, see Section II-F, reduces the number of required base stations[10],[11]. Future SGs will likely encompass distributed generation power plants, such as solar cells and micro-turbines that are often in remote areas.…”

mentioning

confidence: 99%

Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Khan

Rehmani

Reisslein

2016

IEEE Commun. Surv. Tutorials

314

145

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Traditional power grids are currently being transformed into Smart Grids (SGs). SGs feature multi-way communication among energy generation, transmission, distribution, and usage facilities. The reliable, efficient, and intelligent management of complex power systems requires integration of highspeed, reliable, and secure data information and communication technology into the SGs to monitor and regulate power generation and usage. Despite several challenges, such as trade-offs between wireless coverage and capacity as well as limited spectral resources in SGs, wireless communication is a promising SG communications technology. Cognitive Radio Networks (CRNs) in particular are highly promising for providing timely SG wireless communications by utilizing all available spectrum resources. We provide in this paper a comprehensive survey on the CRN communication paradigm in SGs, including the system architecture, communication network compositions, applications, and CR-based communication technologies. We highlight potential applications of CR-based SG systems. We survey CR-based spectrum sensing approaches with their major classifications. We also provide a survey on CR-based routing and MAC protocols, and describe interference mitigation schemes. We furthermore present open issues and research challenges faced by CR-based SG networks along with future directions.Index Terms-Advanced metering infrastructure (AMI), Communication architecture, Cognitive radio network (CRN), Smart grid (SG).1553-877X (c) 2 to license holders on a long-term basis for large geographical regions. This fixed spectrum allocation can result in inefficient spectrum utilization. Cognitive radios (CRs) operating on the principle of Dynamic Spectrum Access (DSA) may be a suitable option to solve these spectrum inefficiency problems [18]. CRs use the existing spectrum through opportunistic access to the licensed bands without interfering with the licensed users. CRs determine the spectrum portions unoccupied by the licensed users known as spectrum holes or white spaces, and allocate the best available channels for CR communication [19], [20].After identification of available spectrum holes, the spectrum utilization can be improved through joint spatial and temporal spectrum sharing. SG applications, especially demand response management, can benefit from joint spatial and temporal spectrum sharing [21]. Machine-to-machine (M2M) communication is an emerging paradigm for providing ubiquitous connectivity between devices to communicate autonomously without human intervention. However, a high number of connected devices can heavily congest the spectrum in existing communication networks. CR technology may be a suitable option for mitigating the potential spectrum shortage arising from M2M communications in the SG [22]. B. Contribution of this Survey ArticleWhile a few overview articles have outline some selected aspects of CR communication in the SG [23]- [25], to the best of our knowledge, there is no prior survey that comprehensively covers CR-based...

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“…The above layered QoS studies [44][45][46][47] try to improve and analyze the adaptability and performance of WSN in Smart Grid application. However, optimization in a layer does not represent the best solution for the entire WSN protocol stack.…”

Section: Qos Based Optimization Ofmentioning

confidence: 99%

Cross-Layer QoS Optimization of Wireless Sensor Network for Smart Grid

Sun

Wang

2014

International Journal of Distributed Sensor Networks

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Wireless Sensor Network (WSN) has been considered as a promising solution for Smart Grid due to the significant advantages over traditional communication technologies. However, as a necessary function for monitoring, diagnosing, and controlling of remote electrical equipment, Quality of Service (QoS) is still a challenging problem in applying WSN in Smart Grid. This paper presents a comprehensive experimental study on optimization of multiobject QoS in cross-layers of WSN protocol. In PHY layer, a Link Quality Estimator is studied for the purpose of evaluating link quality under harsh Smart Grid environments. In MAC layer, a QoS Enhanced MAC algorithm is used to prevent disorderly contentions among nodes and to allocate more channel resources for critical traffic; in NWK layer, a routing algorithm is introduced for multiobject QoS optimization. All the algorithms are cooperated with each other in cross-layer manner to improve end-to-end reliability and latency. In comparison with other counterparts, the proposed algorithms achieve preferable performances. Finally, field experiments were conducted, the result of which showed that the proposed algorithms outperform the ZigBee protocol and the original Distribution Grid wireless communication technology in terms of the QoS performance of critical traffic.

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Routing protocol design guidelines for smart grid environments

Cited by 34 publications

References 27 publications

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Cross-Layer QoS Optimization of Wireless Sensor Network for Smart Grid

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