SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

In order to better improve the reliability of data transmission and extend the network lifetime, the paper proposes the Sensing Clustering Routing Algorithm Based on Collaborative Computing (SCR-CC). The proposed algorithm uses the characteristics of the perceptual radius, which obey the normal dist...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Zeyu Sun, Guisheng Liao, Zhiguo Lv, Guozeng Zhao, Chuanfeng Li
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
Materias:
Acceso en línea:https://doaj.org/article/e1f7bf89063a4a9787cc8ff2be31b759
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:e1f7bf89063a4a9787cc8ff2be31b759
record_format dspace
spelling oai:doaj.org-article:e1f7bf89063a4a9787cc8ff2be31b7592021-11-22T01:11:27ZSCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks1939-012210.1155/2021/1094044https://doaj.org/article/e1f7bf89063a4a9787cc8ff2be31b7592021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1094044https://doaj.org/toc/1939-0122In order to better improve the reliability of data transmission and extend the network lifetime, the paper proposes the Sensing Clustering Routing Algorithm Based on Collaborative Computing (SCR-CC). The proposed algorithm uses the characteristics of the perceptual radius, which obey the normal distribution, and gives the process of completing the expected value of the data transmission of any two nodes in the cluster. Secondly, the paper analysed the necessary conditions of the existence for the expected value of the number of neighbour nodes when the redundant nodes are closed and the working nodes meet arbitrary differences. Thirdly, the cluster angle formed by the base station and the cluster is used to optimize the clustering structure and complete the dynamic clustering process to achieve the energy balance of the entire network. Finally, the simulation experiments show that the proposed SCR-CC algorithm compared with the other three algorithms reduces the number of failed nodes by 11.37% on average and increases the network lifetime by 27.09% on average; therefore, the efficiency and effectiveness of the SCR-CC algorithm are verified.Zeyu SunGuisheng LiaoZhiguo LvGuozeng ZhaoChuanfeng LiHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
Science (General)
Q1-390
spellingShingle Technology (General)
T1-995
Science (General)
Q1-390
Zeyu Sun
Guisheng Liao
Zhiguo Lv
Guozeng Zhao
Chuanfeng Li
SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks
description In order to better improve the reliability of data transmission and extend the network lifetime, the paper proposes the Sensing Clustering Routing Algorithm Based on Collaborative Computing (SCR-CC). The proposed algorithm uses the characteristics of the perceptual radius, which obey the normal distribution, and gives the process of completing the expected value of the data transmission of any two nodes in the cluster. Secondly, the paper analysed the necessary conditions of the existence for the expected value of the number of neighbour nodes when the redundant nodes are closed and the working nodes meet arbitrary differences. Thirdly, the cluster angle formed by the base station and the cluster is used to optimize the clustering structure and complete the dynamic clustering process to achieve the energy balance of the entire network. Finally, the simulation experiments show that the proposed SCR-CC algorithm compared with the other three algorithms reduces the number of failed nodes by 11.37% on average and increases the network lifetime by 27.09% on average; therefore, the efficiency and effectiveness of the SCR-CC algorithm are verified.
format article
author Zeyu Sun
Guisheng Liao
Zhiguo Lv
Guozeng Zhao
Chuanfeng Li
author_facet Zeyu Sun
Guisheng Liao
Zhiguo Lv
Guozeng Zhao
Chuanfeng Li
author_sort Zeyu Sun
title SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks
title_short SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks
title_full SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks
title_fullStr SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks
title_full_unstemmed SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks
title_sort scr-cc: a novel sensing clustering routing algorithm based on collaborative computing in heterogeneous sensor networks
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/e1f7bf89063a4a9787cc8ff2be31b759
work_keys_str_mv AT zeyusun scrccanovelsensingclusteringroutingalgorithmbasedoncollaborativecomputinginheterogeneoussensornetworks
AT guishengliao scrccanovelsensingclusteringroutingalgorithmbasedoncollaborativecomputinginheterogeneoussensornetworks
AT zhiguolv scrccanovelsensingclusteringroutingalgorithmbasedoncollaborativecomputinginheterogeneoussensornetworks
AT guozengzhao scrccanovelsensingclusteringroutingalgorithmbasedoncollaborativecomputinginheterogeneoussensornetworks
AT chuanfengli scrccanovelsensingclusteringroutingalgorithmbasedoncollaborativecomputinginheterogeneoussensornetworks
_version_ 1718418313217835008