6LoWPAN based Neighborhood Area Network for a smart grid communication infrastructure

Smart grid is a utility network, with advanced information and communications technologies for improved control, efficiency, reliability and safety in electric power distribution and management. Smart grid communication network consists of three interconnected communication networks: home area network (HAN), neighborhood area network (NAN), and wide area network (WAN). Our thesis is focused on NAN. The information flow in smart grid communication networks has different Quality of Service (QoS) requirements in terms of packet loss rate, throughput, and latency. By deploying QoS mechanisms, we can get the real time feedbacks which can be used to supply electricity based on need, thus reducing the wastage of electricity. First, we conducted Opnet simulations for NAN. We evaluated two technologies, Zigbee and wireless local area network (WLAN), for NAN. The simulation results demonstrate that latency can be reduced for the data flow with a higher priority with an appropriate QoS mechanism. Next, we proposed an optimal resource allocation scheme to reduce delay and provide differentiated services, in terms of latency, to different classes of traffic in the NAN. The problem is formulated into a linear programming (LP) problem, which can be solved efficiently. The simulation results and comparison demonstrates that the proposed resource allocation scheme can provide overall lower latency of the various data flows. Our method also lowers the delay of the data flow with a higher priority.

Optimal Resource Allocation For QOS Supports In Smart Grid Neighborhood Area Network

10.32920/ryerson.14654283.v1 ◽

2021 ◽

Author(s):

Mohammad S. Yazdi

Keyword(s):

Resource Allocation ◽

Smart Grid ◽

Communication Networks ◽

Area Network ◽

Allocation Scheme ◽

Optimal Resource Allocation ◽

Optimal Resource ◽

Resource Allocation Scheme ◽

Smart grid is a utility network, with advanced information and communications technologies for improved control, efficiency, reliability and safety in electric power distribution and management. Smart grid communication network consists of three interconnected communication networks: home area network (HAN), neighborhood area network (NAN), and wide area network (WAN). Our thesis is focused on NAN. The information flow in smart grid communication networks has different Quality of Service (QoS) requirements in terms of packet loss rate, throughput, and latency. By deploying QoS mechanisms, we can get the real time feedbacks which can be used to supply electricity based on need, thus reducing the wastage of electricity. First, we conducted Opnet simulations for NAN. We evaluated two technologies, Zigbee and wireless local area network (WLAN), for NAN. The simulation results demonstrate that latency can be reduced for the data flow with a higher priority with an appropriate QoS mechanism. Next, we proposed an optimal resource allocation scheme to reduce delay and provide differentiated services, in terms of latency, to different classes of traffic in the NAN. The problem is formulated into a linear programming (LP) problem, which can be solved efficiently. The simulation results and comparison demonstrates that the proposed resource allocation scheme can provide overall lower latency of the various data flows. Our method also lowers the delay of the data flow with a higher priority.

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) ◽

Priority based routing framework for neighborhood area network in smart grid communication

10.1109/wispnet.2017.8300009 ◽

2017 ◽

Cited By ~ 1

Author(s):

L. Jayashree ◽

R. Sandanalakshmi

Keyword(s):

Smart Grid ◽

Area Network ◽

Clustering-Based Channel Allocation Scheme for Neighborhood Area Network in a Cognitive Radio Based Smart Grid Communication

IEEE Access ◽

10.1109/access.2018.2832246 ◽

2018 ◽

Vol 6 ◽

pp. 25773-25784 ◽

Cited By ~ 11

Author(s):

Sheraz Alam ◽

Aqdas Naveed Malik ◽

Ijaz Mansoor Qureshi ◽

Sajjad A. Ghauri ◽

Mubashar Sarfraz

Keyword(s):

Cognitive Radio ◽

Smart Grid ◽

Channel Allocation ◽

Area Network ◽

Allocation Scheme ◽

IoT-Based Implementation of Field Area Network Using Smart Grid Communication Infrastructure

Smart Cities ◽

10.3390/smartcities1010011 ◽

2018 ◽

Vol 1 (1) ◽

pp. 176-189 ◽

Cited By ~ 2

Author(s):

Lipi Chhaya ◽

Paawan Sharma ◽

Adesh Kumar ◽

Govind Bhagwatikar

Keyword(s):

Smart Grid ◽

Power Grid ◽

Practical Implementation ◽

Area Network ◽

Monitoring And Control ◽

Communication Infrastructure ◽

Data Rates ◽

And Control ◽

Field Area

A power grid is a network that carries electrical energy from power plants to customer premises. One existing power grid is going through a massive and revolutionary transformation process. It is envisioned to achieve the true meaning of technology as “technology for all.” Smart grid technology is an inventive and futuristic approach for improvement in existing power grids. Amalgamation of existing electrical infrastructure with information and communication network is an inevitable requirement of smart grid deployment and operation. The key characteristics of smart grid technology are full duplex communication, advanced metering infrastructure, integration of renewable and alternative energy resources, distribution automation and absolute monitoring, and control of the entire power grid. Smart grid communication infrastructure consists of heterogeneous and hierarchical communication networks. Various layers of smart grid deployment involve diverse sets of wired and wireless communication standards. Application of smart grids can be realized in the facets of energy utilization. Smart grid communication architecture can be used to explore intelligent agriculture applications for the proficient nurturing of various crops. The utilization, monitoring, and control of various renewable energy resources are the most prominent features of smart grid infrastructure for agriculture applications. This paper describes an implementation of an IoT-based wireless energy management system and the monitoring of weather parameters using a smart grid communication infrastructure. A graphical user interface and dedicated website was developed for real-time execution of the developed prototype. The prototype described in this paper covers a pervasive communication infrastructure for field area networks. The design was validated by testing the developed prototype. For practical implementation of the monitoring of the field area network, multiple sensors units were placed for data collection for better accuracy and the avoidance of estimation error. The developed design uses one sensor and tested it for IoT applications. The prototype was validated for local and wide area networks. Most of the present literature depicts a design of various systems using protocols such as IEEE 802.15.1 and IEEE 802.15.4, which either provide restricted access in terms of area or have lower data rates. The protocols used in developed system such as IEEE 802.11 and IEEE 802.3 provide ubiquitous coverage as well as high data rates. These are well-established and proven protocols for Internet applications and data communication but less explored for smart grid applications. The work depicted in this paper provides a solution for all three smart grid hierarchical networks such as home/field area networks, neighborhood area networks, and wide area networks using prototype development and testing. It lays a foundation for actual network design and implementation. The designed system can be extended for multiple sensor nodes for practical implementation in field area networks for better accuracy and in the case of node failure.

An intrusion detection system for smart grid neighborhood area network

2014 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2014.6883967 ◽

2014 ◽

Cited By ~ 14

Author(s):

Nasim Beigi-Mohammadi ◽

Jelena Misic ◽

Hamzeh Khazaei ◽

Vojislav B. Misic

Keyword(s):

Intrusion Detection ◽

Smart Grid ◽

Intrusion Detection System ◽

Detection System ◽

Area Network ◽

An Intrusion Detection System for Smart Grid Neighborhood Area Network

10.32920/ryerson.14656977.v1 ◽

2021 ◽

Author(s):

Nasim Beigi Mohammadi

Keyword(s):

Intrusion Detection ◽

Smart Grid ◽

Intrusion Detection System ◽

Detection System ◽

Area Network ◽

Wormhole Attack ◽

Detection Systems ◽

Wireless Mesh ◽

First Time ◽

Smart grid is expected to improve the efficiency, reliability and economics of current energy systems. Using two-way flow of electricity and information, smart grid builds an automated, highly distributed energy delivery network. In this thesis, we present the requirements for intrusion detection systems in smart grid, neighborhood area network (NAN) in particular. We propose an intrusion detection system (IDS) that considers the constraints and requirements of the NAN. It captures the communication and computation overhead constraints as well as the lack of a central point to install the IDS. The IDS is distributed on some nodes which are powerful in terms of memory, computation and the degree of connectivity. Our IDS uses an analytical approach for detecting Wormhole attack. We simulate wireless mesh NANs in OPNET Modeler and for the first time, we integrate our analytical model in Maple from MapleSoft with our OPNET simulation model.