A clustering routing algorithm based on wolf pack algorithm for heterogeneous wireless sensor networks

In order to maximize the network performance of heterogeneous sensor networks and effectively control the network cost, a clustering routing algorithm based on wolf pack algorithm (CLWPA) for heterogeneous wireless sensor networks is proposed. Firstly, the optimal deployment of heterogeneous nodes i...

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Veröffentlicht in:Computer networks (Amsterdam, Netherlands : 1999) Jg. 167; S. 106994
Hauptverfasser: Xiu-wu, Y.U., Hao, Y.U., Yong, Liu, Ren-rong, Xiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 11.02.2020
Elsevier Sequoia S.A
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ISSN:1389-1286, 1872-7069
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Abstract In order to maximize the network performance of heterogeneous sensor networks and effectively control the network cost, a clustering routing algorithm based on wolf pack algorithm (CLWPA) for heterogeneous wireless sensor networks is proposed. Firstly, the optimal deployment of heterogeneous nodes is transformed into a mixed integer programming problem. The approximate optimal solution of the problem is obtained by through the wolf pack algorithm (WPA) which improved by logistic function and levy flight, then a heterogeneous network routing algorithm based on the improved wolf pack algorithm (LWPA) is proposed. Secondly, in order to solve the problem of fixed path in LWPA routing algorithm, the concept of edge degree is introduced to improve DEEC algorithm. The improved DEEC algorithm (IDEEC) is used to dynamically cluster common nodes in heterogeneous networks, and the data transmission mode is carried out after the clustering mode set. Finally, through simulation analysis, compared with other three heterogeneous network routing algorithms, CLWPA algorithm effectively prolongs the network's stable period and lifetime, and the energy consumption is more balanced.
AbstractList In order to maximize the network performance of heterogeneous sensor networks and effectively control the network cost, a clustering routing algorithm based on wolf pack algorithm (CLWPA) for heterogeneous wireless sensor networks is proposed. Firstly, the optimal deployment of heterogeneous nodes is transformed into a mixed integer programming problem. The approximate optimal solution of the problem is obtained by through the wolf pack algorithm (WPA) which improved by logistic function and levy flight, then a heterogeneous network routing algorithm based on the improved wolf pack algorithm (LWPA) is proposed. Secondly, in order to solve the problem of fixed path in LWPA routing algorithm, the concept of edge degree is introduced to improve DEEC algorithm. The improved DEEC algorithm (IDEEC) is used to dynamically cluster common nodes in heterogeneous networks, and the data transmission mode is carried out after the clustering mode set. Finally, through simulation analysis, compared with other three heterogeneous network routing algorithms, CLWPA algorithm effectively prolongs the network's stable period and lifetime, and the energy consumption is more balanced.
ArticleNumber 106994
Author Ren-rong, Xiao
Yong, Liu
Xiu-wu, Y.U.
Hao, Y.U.
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  givenname: Xiao
  surname: Ren-rong
  fullname: Ren-rong, Xiao
  organization: University of South China, 28 Changsheng West Road, Hengyang, 421001, Hunan Province, China
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Keywords Routing algorithm
Heterogeneous sensor networks
Dynamic clustering
Wolf pack algorithm
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Snippet In order to maximize the network performance of heterogeneous sensor networks and effectively control the network cost, a clustering routing algorithm based on...
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StartPage 106994
SubjectTerms Algorithms
Alliances
Clustering
Computer simulation
Data transmission
Deployment
Dynamic clustering
Energy consumption
Heterogeneous sensor networks
Hierarchies
Integer programming
Mixed integer
Networks
Nodes
Routing
Routing algorithm
Sensors
Simulation
Wireless communication systems
Wireless networks
Wireless sensor networks
Wolf pack algorithm
Title A clustering routing algorithm based on wolf pack algorithm for heterogeneous wireless sensor networks
URI https://dx.doi.org/10.1016/j.comnet.2019.106994
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