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Node Deployment of Marine Monitoring Networks: A Multiobjective Optimization Scheme
Duan,Jian Li1,2; Lin,Bin1; Cai,Lin X.3; Liu,Yu Xiang1; Wu,Yuan4
2020-08
Source PublicationSensors (Switzerland)
ISSN1424-8220
Volume20Issue:16Pages:1-19
Abstract

The increasing demands for real-time marine monitoring call for the wide deployment of Marine Monitoring Networks (MMNs). The low-rate underwater communications over a long distance, long propagation delay of underwater acoustic channel, and high deployment costs of marine sensors in a large-scale three-dimensional space bring great challenges in the network deployment and management of MMN. In this paper, we first propose a multitier, hierarchical network architecture of MMN with the support of edge computing (HMMN-EC) to enable efficient monitoring services in a harsh marine environment, taking into consideration the salient features of marine communications. Specifically, HMMN-EC is composed of three subnetworks, i.e., underwater acoustic subnetwork, the sea-surface wireless subnetwork, and the air wireless subnetwork, with a diversity of network nodes with different capabilities. We then jointly investigate the deployment diverse network nodes with various constraints in different subnetworks of HMMN-EC. To this end, we formulate a Multiobjective Optimization (MO) problem to minimize the network deployment cost while achieving the maximal network lifetime, subject to the limited energy of different marine nodes and the complex deployment environment. To solve the formulated problem, we present an Ant-Colony-based Efficient Topology Optimization (AC-ETO) algorithm to find the optimal locations of nodes in different subnetworks of MMN in a large-scale deployment. The time complexity of the proposed algorithm is also analyzed. Finally, extensive simulations are carried out to validate the superior performance of the proposed algorithm compared with some existing solutions.

KeywordAnt Colony Algorithm Gurobi Marine Monitoring Networks Multiobjective Optimization Network Deployment
DOI10.3390/s20164480
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaChemistry ; Engineering ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000567042300001
PublisherMDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
Scopus ID2-s2.0-85089395324
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorLin,Bin
Affiliation1.School of Information and Communication Engineering,Dalian Maritime University,Dalian,116026,China
2.School of Science,Qingdao University of Technology,Qingdao,266033,China
3.Department of Electrical and Computer Engineering,Illinois Institute of Technology,Chicago,60616,United States
4.School of Science,Macao University,Macao,999078,Macao
Recommended Citation
GB/T 7714
Duan,Jian Li,Lin,Bin,Cai,Lin X.,et al. Node Deployment of Marine Monitoring Networks: A Multiobjective Optimization Scheme[J]. Sensors (Switzerland),2020,20(16):1-19.
APA Duan,Jian Li,Lin,Bin,Cai,Lin X.,Liu,Yu Xiang,&Wu,Yuan.(2020).Node Deployment of Marine Monitoring Networks: A Multiobjective Optimization Scheme.Sensors (Switzerland),20(16),1-19.
MLA Duan,Jian Li,et al."Node Deployment of Marine Monitoring Networks: A Multiobjective Optimization Scheme".Sensors (Switzerland) 20.16(2020):1-19.
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