Resource Allocation Strategy in AUV-Assisted Edge Computing UWSN with Hybrid Acoustic and MI Communication - Details

author：

Li, Tengteng (Li, Tengteng.) ^[1] | Zhao, Yisheng (Zhao, Yisheng.) ^[2] (Scholars：赵宜升) | Hu, Zhiyi (Hu, Zhiyi.) ^[3] | Song, Chaohua (Song, Chaohua.) ^[4] | Liu, Peng (Liu, Peng.) ^[5]

Indexed by：

EI Scopus

Abstract：

The　traditional　underwater　wireless　sensor　network　(UWSN)　based　on　acoustic　communication　has　the　shortcomings　of　low　data　rate　and　limited　battery　power.　In　this　paper,　hybrid　acoustic　and　magnetic　induction　(MI)　communication　are　considered　to　overcome　the　above　drawbacks.　A　resource　allocation　strategy　in　autonomous　underwater　vehicle　(AUV)-assisted　edge　computing　UWSN　is　investigated　to　minimize　the　total　system　delay.　Specifically,　all　the　sensor　nodes　(SNs)　are　divided　into　different　clusters.　The　SNs　within　a　cluster　send　the　data　to　the　cluster　head　(CH)　via　the　acoustic　communication.　The　CH　forwards　the　data　to　the　AUV　by　the　MI　communication.　Then,　the　AUV　moves　to　the　position　under　a　surface　vehicle　(SV)　carried　with　a　edge　server.　The　AUV　forwards　the　data　to　the　edge　server　through　the　MI　communication.　The　transmitting　power,　channel　bandwidth,　and　computational　resources　are　jointly　optimized.　The　formulated　non-convex　optimization　problem　is　solved　by　using　an　alternating　iterative　optimization　algorithm.　Compared　with　other　schemes,　the　proposed　strategy　can　reduce　the　total　system　delay　more　effectively.　©　2024　IEEE.

Keyword：

Autonomous underwater vehicles Bandwidth Convex optimization Geophysical prospecting Hybrid vehicles Linear programming Magnetic levitation vehicles Nonlinear programming Sensor nodes

Community：

[ 1 ] [Li, Tengteng]College of Physics and Information Engineering, Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, China
[ 2 ] [Zhao, Yisheng]College of Physics and Information Engineering, Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, China
[ 3 ] [Hu, Zhiyi]College of Physics and Information Engineering, Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, China
[ 4 ] [Song, Chaohua]College of Physics and Information Engineering, Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, China
[ 5 ] [Liu, Peng]College of Physics and Information Engineering, Fuzhou University, Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou, China