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Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks

Terahertz wireless nano-sensor networks (WNSNs) are novel networks interconnecting multiple nano-devices by means of wireless communication. In this paper, a centralized energy harvesting-based time division multiple access (TDMA) protocol, called CEH-TDMA is proposed. This protocol examines the dat...

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Detalles Bibliográficos
Autores principales: Xu, Juan, Kan, Jiali, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832417/
https://www.ncbi.nlm.nih.gov/pubmed/31627333
http://dx.doi.org/10.3390/s19204508
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author Xu, Juan
Kan, Jiali
Zhang, Yan
author_facet Xu, Juan
Kan, Jiali
Zhang, Yan
author_sort Xu, Juan
collection PubMed
description Terahertz wireless nano-sensor networks (WNSNs) are novel networks interconnecting multiple nano-devices by means of wireless communication. In this paper, a centralized energy harvesting-based time division multiple access (TDMA) protocol, called CEH-TDMA is proposed. This protocol examines the data transmission process from a global perspective, where the nano-controller regulates the channel access and allocates time slots for all nano-nodes. First, each nano-node sends the remaining energy and the number of packets in its data buffer to the nano-controller, and then, the nano-controller constructs a Markov decision process (MDP) model according to the state information of all nano-nodes, where the energy consumption and the number of transmitted packets in the entire network are considered as impact factors in designing the award function in the MDP model. Finally, a globally optimal slot allocation strategy is obtained, which maximizes the amount of packet transmission in the perpetual WNSNs.
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spelling pubmed-68324172019-11-25 Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks Xu, Juan Kan, Jiali Zhang, Yan Sensors (Basel) Article Terahertz wireless nano-sensor networks (WNSNs) are novel networks interconnecting multiple nano-devices by means of wireless communication. In this paper, a centralized energy harvesting-based time division multiple access (TDMA) protocol, called CEH-TDMA is proposed. This protocol examines the data transmission process from a global perspective, where the nano-controller regulates the channel access and allocates time slots for all nano-nodes. First, each nano-node sends the remaining energy and the number of packets in its data buffer to the nano-controller, and then, the nano-controller constructs a Markov decision process (MDP) model according to the state information of all nano-nodes, where the energy consumption and the number of transmitted packets in the entire network are considered as impact factors in designing the award function in the MDP model. Finally, a globally optimal slot allocation strategy is obtained, which maximizes the amount of packet transmission in the perpetual WNSNs. MDPI 2019-10-17 /pmc/articles/PMC6832417/ /pubmed/31627333 http://dx.doi.org/10.3390/s19204508 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Juan
Kan, Jiali
Zhang, Yan
Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks
title Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks
title_full Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks
title_fullStr Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks
title_full_unstemmed Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks
title_short Centralized Energy Harvesting-Based TDMA Protocol for Terahertz NanoSensor Networks
title_sort centralized energy harvesting-based tdma protocol for terahertz nanosensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832417/
https://www.ncbi.nlm.nih.gov/pubmed/31627333
http://dx.doi.org/10.3390/s19204508
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