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

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 25773-25784 ◽  
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 ◽  
Smart Grid Communication ◽  
Neighborhood Area Network

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

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 Communication ◽  
Neighborhood Area Network

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.

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

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 Communication ◽  
Neighborhood Area Network

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.

Joint power and channel allocation scheme for IEEE 802.11af based smart grid communication network

2019 ◽  
Vol 95 ◽  
pp. 694-712 ◽  
Author(s):  
Sheraz Alam ◽  
Naveed Aqdas ◽  
I.M. Qureshi ◽  
Sajjad A. Ghauri ◽  
Mubashar Sarfraz
Keyword(s):  
Communication Network ◽  
Smart Grid ◽  
Channel Allocation ◽  
Allocation Scheme ◽  
Joint Power ◽  
Smart Grid Communication

scholarly journals An Intrusion Detection System for Smart Grid Neighborhood Area Network

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 ◽  
Neighborhood Area Network

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.

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