Opportunistic DF-AF Selection Relaying in Hybrid Wireless and Power Line Communication for Indoor IoT Networks release_gpvqtbh2g5dizoyqwe36dbi7sy

by Hoang Thien Van, Quyet-Nguyen Van, Danh Hong Le, Hoang-Phuong Van, Jakub Jalowiczor, Hoang-Sy NGUYEN, Miroslav Voznak

Published in Sensors by MDPI AG.

2021   Volume 21, Issue 16, p5469

Abstract

This manuscript investigates the system performance of hybrid wireless and power line communication networks for indoor Internet of Things applications. Differentiating itself from the existing literature, the performance of the direct link and dual-hop energy harvesting relay-aided links is analyzed under the condition of indoor fading modeled by log-normal distribution. Moreover, the manuscript presents the analytical expressions of the successful transmission probability of the deployed opportunistic decode-and-forward and amplify-and-forward relay selection scheme, and validates them with Monte Carlo simulations. Moreover, the impact of different system parameters on the successful transmission probability is revealed. For the considered hybrid system, in general, the opportunistic decode-and-forward relaying scheme outperforms the opportunistic amplify-and-forward relaying scheme. As importantly, increasing the source to relay distance and power splitting ratio over certain limits significantly deteriorates the system performance, indicated by the decrease in the successful transmission probability.
In application/xml+jats format

Archived Files and Locations

application/pdf  668.3 kB
file_h6roolfqpresbpsrrefzb5yrom
res.mdpi.com (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-08-13
Language   en ?
DOI  10.3390/s21165469
PubMed  34450912
PMC  PMC8400564
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  1424-8220
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: ae74d918-1962-49d8-b57b-d4411e5f485d
API URL: JSON