Abstract
The Cognitive Radio (CR) Advanced Metering Infrastructure (AMI) network is considered as a viable solution to enhance various aspects of electric power grid and realize smart grid. However, several challenges are generated due to the harsh wireless environment in smart grid. As a result, throughpu
Highlights
The legacy electric power grid, which has been used for many years, meets some problems such as insecure, energy inefficient and frequent transmission congestion and even failure [1], [2]
In Advanced Metering Infrastructure (AMI) networks, smart meters located at customer premises are connected to the Meter Data Management System (MDMS), and MDMS serves as the control centre of storage, management and processing of consumer power-consuming information
We propose HCR-Medium Access Control (MAC) protocol, which is a receiver-based MAC protocol for cognitive enabled AMI networks in smart grid
Summary
The legacy electric power grid, which has been used for many years, meets some problems such as insecure, energy inefficient and frequent transmission congestion and even failure [1], [2]. The throughput of communication is not optimized in this work Against this background, our objective in this paper is to enhance the receiver based-MAC on throughput capability for the AMI networks in smart grids. The receiver node with better capacity during this hop will have higher chance to forward the data packet Another key aspect of HCR-MAC is using preamble sampling to improve the energy efficiency. Nodes periodically monitor the current channel for primary user (PU) activity before using it for transmission During this interval (sensing time), nodes are not involved in forwarding data packets the network performance is degraded (e.g., in terms of end-to-end throughput, latency, and packet loss ratio). In HCR-MAC, nodes employ optimal transmission time subject to an interference constraint, in order to ensure protection to PUs
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