Routing Algorithm for Underwater Acoustic Sensor Network

被引:5
作者
Ayyadurai, M. [1 ]
Seetha, J. [2 ]
Haque, Syed Mohd Fazal Ui [3 ]
Juliana, R. [4 ]
Karthikeyan, C. [5 ]
机构
[1] SRM Inst Sci & Technol, Dept Elect & Commun Engn, Ramapuram Campus, Chennai, Tamil Nadu, India
[2] SRM Inst Sci & Technol, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[3] Maulana Azad Natl Urdu Univ, Dept Polytech, Hyderabad, India
[4] Loyola ICAM Coll Engn & Technol, Dept Informat Technol, Chennai, Tamil Nadu, India
[5] Koneru Lakshmaiah Educ Fdn, Dept Comp Sci & Engn, Guntur, Andhra Pradesh, India
关键词
Under water acoustic sensor networks (UASN); Fuzzy c-means (FCM); Cuckoo search optimization (CSO); RANGE-FREE LOCALIZATION; OPTIMIZATION; DEPLOYMENT; GRAPH;
D O I
10.1007/s11063-022-10891-w
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Underwater Acoustic Sensor Networks (UASNs) encompass concerned a great deal interest in together with the educational as well as manufacturing fields. Because of the instant predictability, incidence selectivity and extremely in complete obtainable bandwidth, the Underwater Acoustic (UWA) strait are usually recognized because it demanding message intermediate utilized nowadays. The paper proposed Cluster-Based Cuckoo Search Algorithm (CSA) to accomplish the weight of extensive underwater sensor networks. The network optimized structural design and it establishes the idea of cluster within wireless cellular message. Then, the Fuzzy Clustering Means (FCM) is used to cluster the underwater sensor nodes thereby providing information communication topology amongst underwater sensor nodes thus the whole power utilization method is able to decreased along with trouble of power utilizing stability of underwater sensor nodes be able to resolve wherever the information gathered through every cluster head is broadcast toward the bottom getting terminal equipment, with more over stability as well as consume the energy of the network. The result revealed that our proposed performance execute better results than existing optimization algorithms like GWO with GA intended for energy consumption along within formation delivery ratio, because Cluster-Based CSA is able to provide extensively less empower utilization of network thereby developing better data transmission of nodes.
引用
收藏
页码:441 / 457
页数:17
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