Jie Zhang’s research while affiliated with Hohai University and other places

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Publications (25)


Fig. 6. Design schematic of MSPs: a) top MSP1; b) bottom MSP2.
Fig. 7. Experimental samples of CMSP#3 for comparison.
Fig. 8. Comparison between experimental data and theoretical prediction of normal sound absorption coefficient for CMSP absorbers.
Performance requirements and the optimal parameter combination for MSP absorbers.
Performance and structural parameters of the ultrathin metamaterials.

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Low-Frequency Sound Absorption Potential of Subwavelength Absorbers Based on Coupled Micro-Slit Panels
  • Article
  • Full-text available

March 2024

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133 Reads

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1 Citation

Archives of Acoustics

Yujie Qian

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Zhengyuan Gao

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Jie Zhang

Due to space limitations during installation, reducing low-frequency noise has always been a challenging area. Sub-wavelength structures are typically favored in such scenarios for noise reduction. This paper explores the potential of micro-slit panels (MSP) for low-frequency sound absorption. To further optimize the panel thickness, coupled MSPs (CMSP) with a distance between two MSPs of less than 1 mm are proposed. Firstly, the low-frequency absorption performances of a single MSP based on two optimized schemes – the cavity-depth optimal scheme (COS) and the panel thickness optimal scheme (TOS) – are examined and compared with those of existing ultrathin metamaterials. The results demonstrate that MSP has significant potential for low frequency sound absorption, and COS allows for a smaller overall structural thickness but a larger panel thickness than TOS. Secondly, to reduce the panel thickness, the CMSP is developed and the theoretical model of its acoustic impedance is established and validated by experiments. Then, based on the theoretical model, the low-frequency absorption potential of CMSP is optimized using COS. The results show that both the overall thickness and the panel thickness of the CMSP absorber are reduced while maintaining better performance. Furthermore, the proposed absorber achieves a subwavelength scale since its total thickness can be as small as 0.138λ.

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Investigation on the band narrowing and shifting effects of micro-perforated panel absorbers

March 2024

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28 Reads

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1 Citation

The Journal of the Acoustical Society of America

Micro-perforated panel (MPP) absorbers exhibit multiple resonance bands with increased bandwidth narrowing and shifting in higher frequencies, limiting their effectiveness. This study investigates the effects of narrowing and shifting in higher-order resonance bands of MPP absorbers. First, an acoustic impedance model for MPP absorbers is introduced, and the narrowing and shifting coefficients are defined and modeled to quantify these effects. It is observed that a larger ratio of acoustic resistance to acoustic mass is favorable for reducing the narrowing and shifting effects. Subsequently, the theoretical model is validated using a numerical model, and a parametric study is conducted to explore the influence of geometric parameters on the narrowing and shifting effects. The study reveals that decreasing aperture and panel thickness, while increasing perforation ratio and cavity depth, reduces the narrowing and shifting coefficients. Remarkably, ultra-micro-perforated panels (UMPPs) with an aperture below 0.1 mm and perforation constant below 0.0046, having relatively larger acoustic resistance and smaller acoustic mass, demonstrate near-zero band narrowing and shifting. Finally, UMPPs are fabricated using micro-electro-mechanical systems (MEMS) technology, and their normal absorption coefficients are measured. Results align with theoretical predictions, confirming UMPPs' ability to achieve zero narrowing and shifting compared to ordinary MPPs and verifying the study's findings.




Heuristic Surface Path Planning Method for AMV-Assisted Internet of Underwater Things

February 2023

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27 Reads

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2 Citations

Sustainability

Ocean exploration is one of the fundamental issues for the sustainable development of human society, which is also the basis for realizing the concept of the Internet of Underwater Things (IoUT) applications, such as the smart ocean city. The collaboration of heterogeneous autonomous marine vehicles (AMVs) based on underwater wireless communication is known as a practical approach to ocean exploration, typically with the autonomous surface vehicle (ASV) and the autonomous underwater glider (AUG). However, the difference in their specifications and movements makes the following problems for collaborative work. First, when an AUG floats to a certain depth, and an ASV interacts via underwater wireless communication, the interaction has a certain time limit and their movements to an interaction position have to be synchronized; secondly, in the case where multiple AUGs are exploring underwater, the ASV needs to plan the sequence of surface interactions to ensure timely and efficient data collection. Accordingly, this paper proposes a heuristic surface path planning method for data collection with heterogeneous AMVs (HSPP-HA). The HSPP-HA optimizes the interaction schedule between ASV and multiple AUGs through a modified shuffled frog-leaping algorithm (SFLA). It applies a spatial-temporal k-means clustering in initializing the memeplex group of SFLA to adapt time-sensitive interactions by weighting their spatial and temporal proximities and adopts an adaptive convergence factor which varies by algorithm iterations to balance the local and global searches and to minimize the potential local optimum problem in each local search. Through simulations, the proposed HSPP-HA shows advantages in terms of access rate, path length and data collection rate compared to recent and classic path planning methods.


Formation Path Planning for Collaborative Autonomous Underwater Vehicles Based on Consensus-Sparrow Search Algorithm

January 2023

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16 Reads

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9 Citations

IEEE Internet of Things Journal

Formation path planning of autonomous underwater vehicles (AUVs) entails establishing optimal collision-free routes over challenging underwater terrain while maintaining state coherence to preserve an intended formation, and path planning techniques have been the subject of significant study over the last decade, with swarm intelligence algorithms such as the sparrow search algorithm (SSA) being among the most commonly employed. However, the algorithms typically are constrained by the imbalanced adjustment between local development and global exploration, which reduces the optimization capability, and they are relatively understudied for the formation movement issues. Accordingly, this paper proposes a consensus-SSA based formation path planning (CSFPP) method, which applies an improved SSA for planning an optimal path, and then incorporates the path into a consensus algorithm that introduces an artificial potential field (APF) to enable collaborative formation movement. In the path planning phrase, the CSFPP employs an improved SSA which applies the golden search optimization (GSO) and an adaptive iteration approach to adjust the local development and global exploration in order to improve the overall optimization performance. Then in the formation control phrase, the CSFPP introduces a virtual point scheme for APF-based obstacle avoidance in order to navigate an AUV formation in an obstacle environment while maintaining the formation shape controlled by a consensus algorithm. The superiority of the proposed path planning capability is demonstrated by comparing the convergence performance of the improved SSA with the recent contributions; and simulations of formation movement in underwater space verify the feasibility of the proposed formation control method in the obstacle environment.


A Collaborative Path Planning Method for Heterogeneous Autonomous Marine Vehicles

January 2023

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25 Reads

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7 Citations

IEEE Internet of Things Journal

Intelligent control of autonomous marine vehicles (AMV) is one of the essential technologies for exploring marine resources. In the deep sea with a complicated exploration environment, collaboration between heterogeneous AMVs can maximize exploration efficiency by utilizing various functional benefits. Accordingly, the paper proposes a method for collaborative path planning for heterogeneous AMVs that employs a fused metaheuristic algorithm for the underwater path planning of an autonomous underwater glider (AUG), and an adaptive surface path planning of an autonomous surface vehicle (ASV), respectively. The fused metaheuristic method balances global and local path explorations for underwater path planning by integrating the grey wolf optimizer (GWO) and equilibrium optimizer (EO), and it reduces the local optimum problem by using a conditional convergence factor; and the adaptive surface path planning approach considers the influence of ocean currents at various locations to guide the ASV collaboratively to track the AUG underwater in the horizontal plane. The fused metaheuristic algorithm has demonstrated superior convergence performance in simulations, which indicates that the proposed method has advantage in terms of underwater path planning for complex marine exploration.


Space/Frequency-Division-Based Full-Duplex Data Transmission Method for Multihop Underwater Acoustic Communication Networks

January 2022

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10 Reads

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7 Citations

IEEE Internet of Things Journal

Underwater acoustic communication networks (UACNs) have been widely utilized in recent years because of the growing interest in interactive information in the deep ocean. Compared with traditional radio wireless networks, UACNs are characterized by complex and dynamic three-dimensional network topology and longer signal propagation delay. Therefore, recent studies on UACNs usually apply dynamic routes in data communication to adapt to complex UACN structure. However, the approaches are hardly adequate for UACN scenarios with high-traffic requirements. This is because dynamic routing methods, such as opportunistic routing, usually require external contention costs to control the routing paths, which leads to decreased network throughput. Accordingly, this paper focuses on enabling high-speed acoustic communications for underwater application scenarios with high-traffic requirements, and proposes an underwater data transmission method using the multi-channel full-duplex (FD) communication technique. The proposed method applies the underwater orthogonal frequency division multiple access (OFDM) technique, that uses collision-free channels to relay data in multi-hop routes for simultaneous transmission and reception. Unlike the traditional communication methods of UACNs with dynamic routing, the proposed one uses static routes when transporting data over hop-by-hop paths to achieve stable and uninterrupted FD communication. The approach also includes a directional-forwarding based route request method and an elimination-based channel evaluation proposal, which purpose to reduce the overheads from exploring routes and enable collision-free FD communications. The performance analysis of the proposed method is under simulated conditions of high-traffic UACN scenarios, and the results show that it has superior performance compare to the classical underwater data transmission methods.



AUV-Assisted Subsea Exploration Method in 6G Enabled Deep Ocean Based on a Cooperative Pac-Men Mechanism

August 2021

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39 Reads

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42 Citations

IEEE Transactions on Intelligent Transportation Systems

The coming 6G communication technology introduces the possibility of practice underwater Internet of Things (UIoT) applications with high-speed and reliable underwater communications. Among them, the cooperative coverage path planning (CPP) with autonomous underwater vehicles (AUVs) is a promising approach for enabling deep ocean exploration. The cooperative CPP in underwater is challenged by several marine factors, typically the harsh underwater communication environment, which brings difficulties in sharing the coverage progresses of AUVs and the environmental information such as the seafloor bathymetry, obstacles, etc. Accordingly, this paper proposes a novel CPP method based on 6G enabled cooperative AUVs, named the Pac-AUV. As the name suggests, the method is based on the mechanism of the Ms. Pac-Man game, where AUV-assisted subsea exploration is considered as cooperative Pac-Men sharing the Pac-Dots distributed on the seafloor. The Pac-AUV involves two steps in cooperative CPP. One is a dot-spreading-based mission assignment (DMA), which is discretely performed by each AUV and requires support from reliable underwater communication in sharing the Pac-Dots. The other step is virtual attraction-based coverage path planning (V-CPP), which adopts the virtual attraction force from the Pac-Dots, results in low computational complexities in generating the coverage paths and avoids obstacles. Simulations are performed to demonstrate the performance of the Pac-AUV, and the results prove the advantages of cooperative and balanced CPP executions.


Citations (16)


... However, this method is only applied under two-dimensional conditions and is not suitable for three-dimensional scenarios of UAVs. Jie Zhang et al. improved the sparrow search algorithm (SSA) [17] by applying golden search optimization (GSO) and an adaptive iterative method to adjust local exploitation and global exploration, enhancing overall optimization performance. Xiaobing Yu combined GWO with differential evolution to solve the path planning problem of UAVs [18]. ...

Reference:

Multi-Unmanned Aerial Vehicle Path Planning Based on Improved Nutcracker Optimization Algorithm
Formation Path Planning for Collaborative Autonomous Underwater Vehicles Based on Consensus-Sparrow Search Algorithm
  • Citing Article
  • January 2023

IEEE Internet of Things Journal

... In the actual observation mission, precise navigation is needed to follow the predetermined route in order to make the AUV arrive at the target sea area accurately for sampling. Path planning is particularly important to ensure that AUV can fulfill their exploration tasks efficiently and accurately [9,10]. Reasonable path planning not only improves the detection efficiency of AUVs but also reduces their energy consumption and operating costs. ...

A Collaborative Path Planning Method for Heterogeneous Autonomous Marine Vehicles
  • Citing Article
  • January 2023

IEEE Internet of Things Journal

... This is utilized to attain an optimal selection of coverage-aware target nodes and to devise trajectories for multiple AUVs. Introducing a heterogeneous USV-AUV system to the data collection, the authors of [87] introduced a modified shuffled frog-leaping algorithm (SFLA). This alteration is applied to optimize the coordination schedule between USVs and multiple AUVs. ...

Heuristic Surface Path Planning Method for AMV-Assisted Internet of Underwater Things

Sustainability

... In addition, as the cover of mobile underwater equipment, the heterogeneity of different types of AUVs, such as underwater gliders, drifters, remotely operated vehicles (ROV), and underwater robots, have applications to tasks in different IoUT scenarios [2]. Typical applications in IoUT include data storage and relay transmission [4], environment detection and target hunting [5], information collection [2] and device maintenance [6]. ...

Space/Frequency-Division-Based Full-Duplex Data Transmission Method for Multihop Underwater Acoustic Communication Networks
  • Citing Article
  • January 2022

IEEE Internet of Things Journal

... Another important maritime area comprises IoUT deployments and underwater vehicles. Currently, most studies are based on centralized learning paradigms that might pose difficulties for resource-constrained edge nodes to participate in model training processes; for example, when autonomous underwater vehicle (AUV) swarms are employed in search-and-rescue or pollution-monitoring applications [27][28][29]. ...

AUV-Assisted Subsea Exploration Method in 6G Enabled Deep Ocean Based on a Cooperative Pac-Men Mechanism
  • Citing Article
  • August 2021

IEEE Transactions on Intelligent Transportation Systems

... The Doppler effect has seriously affected the communication quality of the underwater acoustic channel, and the leading cause of the Doppler effect is the jump of the sound velocity gradient and the surge of waves and turbulence on the sea surface, which leads to the relative motion of the sending and receiving parties [1]. This is because the Doppler effect has the most significant impact on the frequency domain of signal transmission. ...

Ecologically Friendly Full-Duplex Data Transmission Scheme for Underwater Acoustic Sensor Networks
  • Citing Article
  • November 2020

IEEE Internet of Things Journal

... In recent years, underwater Internet of Things (IoT) devices in sea regions have proliferated, driving a growing demand for high-speed and large-capacity communication technologies [1][2][3][4][5][6]. Against this backdrop, underwater wireless optical communication (UWOC) is a potential solution to the unique challenges of underwater environments, where electromagnetic waves rapidly attenuate while efficiently transmitting data [7][8][9][10][11][12]. ...

A Cooperative-Control-Based Underwater Target Escorting Mechanism With Multiple Autonomous Underwater Vehicles for Underwater Internet of Things
  • Citing Article
  • September 2020

IEEE Internet of Things Journal

... To better overcome the drawbacks of scheduling-based MAC protocols, large-scale node scheduling and clustering algorithms have gradually become a research focus for improving network performance [20,21]. The classification and hierarchical ideas in clustering algorithms reduce the complexity of underwater networks and the number of data transmissions for user nodes. ...

Cellular Clustering-Based Interference-Aware Data Transmission Protocol for Underwater Acoustic Sensor Networks
  • Citing Article
  • January 2020

IEEE Transactions on Vehicular Technology

... However, there was no further study on related issues such as channel transmission rate. In the case of marine mammals and transmission constraints, literature [16] proposed an environmentally friendly underwater acoustic sensor network protocol based on channel allocation, which improved the throughput and energy efficiency of underwater acoustic networks. However, this protocol failed to find a matching mac protocol in practical applications, and there are certain limitations. ...

An Environmental Friendly Routing with Channel Allocation for Underwater WSNs
  • Citing Conference Paper
  • June 2019

... Since the acoustic performance of parallel-connected MPPs depends on 4N parameters, it is difficult to know a priori the combination of these parameters providing the maximum absorption within a prescribed frequency band. Authors have used several optimization algorithms such as simulated annealing [11], genetic algorithm [12], and Particle Swarm Optimization [13]. After achieving some optimized parameters for specific panels, it can be manufactured and therefore can be used as a wall/ceiling panel in architectural applications. ...

Optimization Design of Serial-Parallel Coupled Micro-Perforated Panel Absorbers by Genetic Algorithm
  • Citing Conference Paper
  • August 2018