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

Read more

Summary

Introduction

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

HCR-MAC Overview
Performance Evaluation
Findings
Concluding Remarks

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.