Joint Power Control and Multipath Routing for Internet of Underwater Things in Varying Environments

Internet of Underwater Thing (IoUT) stands as promising technology facilitating diverse underwater applications. Nevertheless, IoUT across vast marine regions is challenged by highly diverse and fluctuating channel environments, which results in unreliable point-to-point (PTP) transmissions. Moreover, its multi-hop nature exacerbates severe unreliable end-to-end (ETE) transmissions. Existing methods utilize routing protocols to address the above challenges by independently power control for PTP reliability or multi-path transmission for ETE reliability. However, these methods ignore the interdependencies between power control and multi-path transmission, which fail to guarantee high energy-efficient reliability in resource-constrained and harsh underwater environments. To this end, we propose a joint power Control And Multi-Path routing (CAMP) protocol for IoUTs in varying environments. Specifically, we develop PTP and ETE reliability models by analyzing the interrelation between power control and multi-path routing, incorporating historical, current, and predictive information. A hybrid routing strategy is designed based on the reliability models to accommodate changing environmental conditions, residual energy, and link quality. This strategy initiates multi-path routing at the source and single-path forwarding at relay nodes, combined with power control. Extensive simulations demonstrate that CAMP achieves superior reliability (packet delivery rate) and energy efficiency, while simultaneously improving network performance in terms of latency and throughput.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-01-09
DOI
https://doi.org/10.1109/jiot.2025.3527692
Citations
7
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
8.02

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article

Joint Power Control and Multipath Routing for Internet of Underwater Things in Varying Environments

Cangzhu Xu, Shanshan Song, Miao Pan, Jun‐Hong Cui et al.
7 citations
IEEE Internet of Things Journal
Underwater Vehicles and Communication Systems
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article

Joint Power Control and Multipath Routing for Internet of Underwater Things in Varying Environments

Cangzhu Xu, Shanshan Song, Miao Pan, Jun‐Hong Cui, Jun Liu, Gaochao Xu
article en
7 citations

Abstract

Internet of Underwater Thing (IoUT) stands as promising technology facilitating diverse underwater applications. Nevertheless, IoUT across vast marine regions is challenged by highly diverse and fluctuating channel environments, which results in unreliable point-to-point (PTP) transmissions. Moreover, its multi-hop nature exacerbates severe unreliable end-to-end (ETE) transmissions. Existing methods utilize routing protocols to address the above challenges by independently power control for PTP reliability or multi-path transmission for ETE reliability. However, these methods ignore the interdependencies between power control and multi-path transmission, which fail to guarantee high energy-efficient reliability in resource-constrained and harsh underwater environments. To this end, we propose a joint power Control And Multi-Path routing (CAMP) protocol for IoUTs in varying environments. Specifically, we develop PTP and ETE reliability models by analyzing the interrelation between power control and multi-path routing, incorporating historical, current, and predictive information. A hybrid routing strategy is designed based on the reliability models to accommodate changing environmental conditions, residual energy, and link quality. This strategy initiates multi-path routing at the source and single-path forwarding at relay nodes, combined with power control. Extensive simulations demonstrate that CAMP achieves superior reliability (packet delivery rate) and energy efficiency, while simultaneously improving network performance in terms of latency and throughput.

IEEE Internet of Things JournalVol. 12(11)
University of Electronic Science and Technology of China (CN), Jilin University (CN), Jilin Province Science and Technology Department (CN), University of Houston (US), Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 3%
Underwater Vehicles and Communication Systems
8.02
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