Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities

This paper first analyzes the existing optimization models and methods based on low-latency and high-concurrency 5G wireless sensor networks and focuses on some research results based on the physical layer, data link layer, and network layer. After that, the energy-constrained cross-layer optimizati...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Yuge Guo
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/bda0b3f7958647c2830497c8a448b348
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:bda0b3f7958647c2830497c8a448b348
record_format	dspace
spelling	oai:doaj.org-article:bda0b3f7958647c2830497c8a448b3482021-11-22T01:09:49ZLow-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities1687-726810.1155/2021/9867800https://doaj.org/article/bda0b3f7958647c2830497c8a448b3482021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9867800https://doaj.org/toc/1687-7268This paper first analyzes the existing optimization models and methods based on low-latency and high-concurrency 5G wireless sensor networks and focuses on some research results based on the physical layer, data link layer, and network layer. After that, the energy-constrained cross-layer optimization algorithm of the joint physical layer and network layer and the cross-layer optimization algorithm based on reliable transmission are analyzed and compared. According to the ideological and political education cycle and network connectivity of wireless sensor networks, the existing definition of the ideological and political education cycle of wireless sensor networks was questioned and its irrationality was demonstrated. Firstly, we introduce the system model, energy capture model, and energy consumption model of this scheme; then, calculate the energy consumption of the node sending and receiving data and analyze the maximum throughput that the node can provide for data transmission to perform mathematical modeling. In a balanced ideological and political education cycle, the optimal solution is given. Finally, it introduces distributed high-throughput routing for EH-WSNs based on low latency and high concurrency and gives a performance comparison with the shortest path routing scheme. The energy consumption of each part of the node is analyzed in a comprehensive and in-depth manner, and the direction of the energy optimization strategy of the network node and its sensor network is pointed out. On this basis, this article proposes a new definition of the network ideological and political education cycle: the ideological and political education cycle of the wireless sensor network is equal to the ideological and political education cycle of the first joint in the network that fails due to energy exhaustion. Based on this definition, the wireless sensor network is analyzed, and the cross-layer (physical layer, data link layer, and network layer) optimization mathematical model of the wireless sensor network ideological and political education cycle is established. The two data collection schemes proposed in this paper are simulated under the conditions of no-delay ideological and political education cycle and different time-delayed ideological and political education cycles. The simulation results show that the model is better than both in terms of network life and data integrity.Yuge GuoHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995
spellingShingle	Technology (General) T1-995 Yuge Guo Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities
description	This paper first analyzes the existing optimization models and methods based on low-latency and high-concurrency 5G wireless sensor networks and focuses on some research results based on the physical layer, data link layer, and network layer. After that, the energy-constrained cross-layer optimization algorithm of the joint physical layer and network layer and the cross-layer optimization algorithm based on reliable transmission are analyzed and compared. According to the ideological and political education cycle and network connectivity of wireless sensor networks, the existing definition of the ideological and political education cycle of wireless sensor networks was questioned and its irrationality was demonstrated. Firstly, we introduce the system model, energy capture model, and energy consumption model of this scheme; then, calculate the energy consumption of the node sending and receiving data and analyze the maximum throughput that the node can provide for data transmission to perform mathematical modeling. In a balanced ideological and political education cycle, the optimal solution is given. Finally, it introduces distributed high-throughput routing for EH-WSNs based on low latency and high concurrency and gives a performance comparison with the shortest path routing scheme. The energy consumption of each part of the node is analyzed in a comprehensive and in-depth manner, and the direction of the energy optimization strategy of the network node and its sensor network is pointed out. On this basis, this article proposes a new definition of the network ideological and political education cycle: the ideological and political education cycle of the wireless sensor network is equal to the ideological and political education cycle of the first joint in the network that fails due to energy exhaustion. Based on this definition, the wireless sensor network is analyzed, and the cross-layer (physical layer, data link layer, and network layer) optimization mathematical model of the wireless sensor network ideological and political education cycle is established. The two data collection schemes proposed in this paper are simulated under the conditions of no-delay ideological and political education cycle and different time-delayed ideological and political education cycles. The simulation results show that the model is better than both in terms of network life and data integrity.
format	article
author	Yuge Guo
author_facet	Yuge Guo
author_sort	Yuge Guo
title	Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities
title_short	Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities
title_full	Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities
title_fullStr	Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities
title_full_unstemmed	Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities
title_sort	low-latency and high-concurrency 5g wireless sensor network assists innovation in ideological and political education in colleges and universities
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/bda0b3f7958647c2830497c8a448b348
work_keys_str_mv	AT yugeguo lowlatencyandhighconcurrency5gwirelesssensornetworkassistsinnovationinideologicalandpoliticaleducationincollegesanduniversities
_version_	1718418422980673536

Low-Latency and High-Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities

Ejemplares similares