iCenS: An information-centric smart grid network architecture

Tourani, Reza; Misra, Satyajayant; Mick, Travis; Brahma, Sukumar; Biswal, Milan; Ameme, Dan

doi:10.1109/smartgridcomm.2016.7778797

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…The three-layer NDN architecture supports the Internet of Things, consisting of an application layer, an NDN layer, and an Internet of Things layer. Reza et.al [20] proposed an information-centric network architecture for smart grids that meets their communication requirements. In [21], a fog computing-enabled cognitive network functions virtualization approach is proposed to address smart analysis and the control of computational and storage resources.…”

Section: B Applications Of Information-centric Networkmentioning

confidence: 99%

Information-Centric Wireless Sensor Networking Scheme With Water-Depth-Awareness Content Caching for Underwater IoT

Li³

et al. 2022

IEEE Internet Things J.

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The existing underwater Internet of Things (UIoT) is based on IP architecture, which is not conducive to the efficient storage and distribution of huge amounts of content generated in underwater. Actively pushing all content to users causes much unnecessary resource consumption in the UIoT. The information centric networking (ICN) architecture opens new horizons up for these challenges. However, the slowness of underwater propagation speed makes traditional ICN not suitable for UIoT, especially considering about delay time. In this paper, we propose an information-centric wireless sensor networking scheme with water-depth-aware content caching (ICWSN-WDA) to solve the above challenges. First, we design a naming scheme and a hybrid communication mode suitable for ICWSN-WDA. The communication mode in underwater we design is divided into push and pull traffic, which balances energy consumption and delay time. Secondly, we define a push level to decide which water depth the content actively pushes to, finding a suitable junction point of two modes. Thirdly, as the water depth is deeper, it becomes more difficult to replace sensor battery. To save energy consumption of deep-water sensors, water-depth-aware caching mechanism is proposed based on water depth, popularity and senor energy. Our extensive evaluation confirms the effectiveness of our proposed scheme, and it balances energy consumption constraints and latency.

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Section: B Applications Of Information-centric Networkmentioning

confidence: 99%

Information-Centric Wireless Sensor Networking Scheme With Water-Depth-Awareness Content Caching for Underwater IoT

Li³

et al. 2022

IEEE Internet Things J.

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“…An information-centric advanced metering infrastructure for measuring, collecting, storing, analyzing, and exploiting energy usage data in smart grids was presented in [134]. The paper [135] proposed a three-level architecture for information-centric smart grid (iCenS) that is scalable and meets the communication requirements. The traffic and service capacity of iCenS was then modeled in [136].…”

Section: E Smart Gridmentioning

confidence: 99%

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Gûr

Kalla

Alwis

et al. 2022

IEEE Open J. Commun. Soc.

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Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloud-based processing and storage capabilities closer to the mobile users by implementing server resources in the access nodes. MEC helps fulfill the stringent requirements of 5G and beyond networks to offer anytime-anywhere connectivity for many devices with ultra-low delay and huge bandwidths. Information-Centric Networking (ICN) is another prominent network technology that builds on a content-centric network architecture to overcome host-centric routing/operation shortcomings and to realize efficient pervasive and ubiquitous networking. It is envisaged to be employed in Future Internet including Beyond 5G (B5G) networks. The consolidation of ICN with MEC technology offers new opportunities to realize that vision and serve advanced use cases. However, various integration challenges are yet to be addressed to enable the wide-scale co-deployment of ICN with MEC in future networks. In this paper, we discuss and elaborate on ICN MEC integration to provide a comprehensive survey with a forwardlooking perspective for Beyond 5G networks. In that regard, we deduce lessons learned from related works (for both 5G and Beyond 5G networks). We present ongoing standardization activities to highlight practical implications of such efforts. Moreover, we render key B5G use cases and highlight the role for ICN MEC integration for addressing their requirements. Finally, we layout research challenges and identify potential research

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“…For instance, middlewares presented in [ 32 , 33 , 34 , 35 ] do not communicate using any of the following smart-grid protocols: IEC 61850, DNP3, and Modbus. The systems and architectures presented in [ 36 , 37 ] communicate using only the IEC 61850 protocol. None of them allows the integration of WSNs into smart grids supporting all of these protocols.…”

Section: Related Workmentioning

confidence: 99%

Infrastructure for Integration of Legacy Electrical Equipment into a Smart-Grid Using Wireless Sensor Networks

Araújo

Filho

Rodrigues

et al. 2018

Sensors

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At present, the standardisation of electrical equipment communications is on the rise. In particular, manufacturers are releasing equipment for the smart grid endowed with communication protocols such as DNP3, IEC 61850, and MODBUS. However, there are legacy equipment operating in the electricity distribution network that cannot communicate using any of these protocols. Thus, we propose an infrastructure to allow the integration of legacy electrical equipment to smart grids by using wireless sensor networks (WSNs). In this infrastructure, each legacy electrical device is connected to a sensor node, and the sink node runs a middleware that enables the integration of this device into a smart grid based on suitable communication protocols. This middleware performs tasks such as the translation of messages between the power substation control centre (PSCC) and electrical equipment in the smart grid. Moreover, the infrastructure satisfies certain requirements for communication between the electrical equipment and the PSCC, such as enhanced security, short response time, and automatic configuration. The paper’s contributions include a solution that enables electrical companies to integrate their legacy equipment into smart-grid networks relying on any of the above mentioned communication protocols. This integration will reduce the costs related to the modernisation of power substations.

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iCenS: An information-centric smart grid network architecture

Cited by 17 publications

References 20 publications

Information-Centric Wireless Sensor Networking Scheme With Water-Depth-Awareness Content Caching for Underwater IoT

Information-Centric Wireless Sensor Networking Scheme With Water-Depth-Awareness Content Caching for Underwater IoT

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Infrastructure for Integration of Legacy Electrical Equipment into a Smart-Grid Using Wireless Sensor Networks

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