Xinhua Wang

Nanjing University of Aeronautics and Astronautics

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Huajun Gong

Nanjing University of Aeronautics and Astronautics

Ziyuan Ma

Nanjing University of Aeronautics and Astronautics

Jiahuan Li

Beijing Jiaotong University

Shuai Zhang

Nanjing University of Aeronautics and Astronautics

Mingyan Cheng

Nanjing University of Aeronautics and Astronautics

Huan Liang

State Key Laboratory of Respiratory Disease

Peng Sun

North University of China

Khuloud A. Alibrahim

Princess Nourah bint Abdulrahman University

Mingzhu Wei

University of Electronic Science and Technology of China

Fukang Zhao

Hangzhou Academy of Agricultural Sciences

Cooperative Institutions

Chinese Academy of Sciences

Nanjing University of Aeronautics and Astronautics

Zhejiang University

First Affiliated Hospital of Zhengzhou University

University of Chinese Academy of Sciences

Institute of Microelectronics

Chinese PLA General Hospital

Peking University

Chinese Academy of Medical Sciences & Peking Union Medical College

Zhengzhou University

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Fault-tolerant multi-path routing protocol for WSN based on HEED

International Journal of Sensor Networks (2016)

Yucai Zhou Xinhua Wang Tong Wang Bingyi Liu Weixin Sun

To solve the network performance deterioration caused by network nodes failure according to unexpected and unforeseen environmental changes in wireless sensor network (WSN), a high fault-tolerant and energy-efficient multipath routing protocol based on the idea of hybrid, energy-efficient distributed (HEED) clustering protocol, called HEED fault tolerant (HEED-FT) is proposed in this paper. To improve the routing reliability and energy balance between cluster heads, the HEED-FT algorithm first introduces the non-probability waiting time, residue energy and centres to improve the cluster lifetime. Then multiple clustering parameters are applied with different hierarchy which can control the ideal topology distribution of the cluster heads. Finally, a multiple trees Gabriel graph (MTGG) model is put forward to get a reliable communication link with multiple clustering parameters which can ensure the nodes in an ideal cluster topology distribution. The simulation results show that HEED-FT has less energy consumption, higher reliability and longer network survival than the traditional algorithms.

Path vector protocol

Topology Control

10.1504/ijsnet.2016.074280

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Citations (26)

Fault-Tolerant Event-Triggrred Control for Multiple UAVs with Predefined Tracking Performance

Drones (2024)

Ziyuan Ma Huajun Gong Xinhua Wang

This paper proposes an event-triggered fault-tolerant time-varying formation control method dedicated to multiple unmanned aerial vehicles (UAVs). We meticulously design a formation-tracking controller with a predefined tracking performance to accommodate the presence of actuator faults and external disturbances. Firstly, the formation-tracking controller acquires the desired heading using the line-of-sight algorithm. Secondly, in the presence of actuator faults and external disturbances, we introduce the radial basis function neural network (RBFNN) and adaptive law tracking control to effectively compensate for their effects. Additionally, we design adaptive tracking controllers and event-triggering conditions to increase the computational frequency. The predefined tracking performance, implemented via a Lyapunov function, ensures the convergence of the tracking error over time. Finally, we conduct a thorough analysis of the system’s stability, successfully eliminating the possibility of Zeno behavior. The simulation results thoroughly validate the effectiveness of the theoretical analysis.

Tracking (education)

Tracking error

Lyapunov stability

10.3390/drones8010025

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Citations (3)

Research on Trajectory Planning Using Improved Harris Hawk Optimization Algorithm

Congwei Zhao Mingyan Cheng Peiyuan Zhou Xinhua Wang

10.1109/icait62580.2024.10808137

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Outlier node localisation in sensor networks based on double layer modified unscented Kalman filter

International Journal of Sensor Networks (2021)

Zhonghua Ni Xinhua Wang

10.1504/ijsnet.2021.117968

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Citations (1)

Effect of surface conversion on thermodynamic properties of bulk aluminum oxide (Al₂O₃) at high pressure and temperature; First principle study

International Journal of Modern Physics C (2024)

Shabir Ali Xinhua Wang Ghulam Rasool Amjad Ali Rawaid Ali

Aluminum Oxide

10.1142/s0129183125500196

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Robot Path Planning Based on Fusion Improved Ant Colony Algorithm

Huan Liang Xinhua Wang Zhe Hu Kai Zhang Hao Wang

Robot path planning is a hot issue in the robotics field. Based on many algorithms, we consider the efficiency and accuracy of path planning. This paper proposes a path planning method that combines improved ant colony algorithm and $\mathrm{A}^{\ast}$ algorithm. First, by improving the pheromone update method, state transition probability and heuristic function in the ant colony algorithm, an ant colony algorithm with better performance is obtained. Afterwards, aiming at the defect that the same initial pheromone concentration in the ant colony algorithm leads to the purposeless search of the first-generation ant colony, the fusion improved ant colony algorithm and the $\mathrm{A}^{\ast}$ algorithm are proposed, and simulation experiments are carried out. The experimental results show that the path is planned through the fusion algorithm the search time is shortened, the number of iterations when reaching convergence is reduced, and a better path can be obtained, which shows that the algorithm can achieve good results when dealing with path planning problems.

Ant colony

10.1109/icaa53760.2021.00038

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Citations (1)

Reliable Multi-path Routing Protocol in Wireless Sensor Networks

Parallel and Distributed Computing: Applications and Technologies (2010)

Xinhua Wang Che Chang-ming Ling Li

There are often some faults happening in the wireless sensor networks due to node failure or energy exhaustion. It is because the nodes in sensor networks are energy constrained and usually deployed in harsh environments. These factors strongly influence reliability of data transmission and decrease the lifetime of networks. An important issue in designing wireless sensor network is the reliable routing protocols which provide as much reliability of data transmission as possible. Another important factor is to make the best use of the limited energy presented by nodes of wireless sensor networks. This paper proposes a new routing protocol called REEM(Reliable and Energy-Efficient Multi-path routing protocol) to settle above problems. Simulation results show that our protocol surpasses the MSR, AOMDV and ARAMA protocols in terms of reliability and network lifetime.

Zone Routing Protocol

Path vector protocol

Geographic routing

10.1109/pdcat.2010.51

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Citations (7)

Theoretical investigation of structure stabilities, electronic and thermodynamic properties of 2D Mo-based MXene Mon+1Xn (X = C, N and n = 1, 2, 3)

Materials Science and Engineering B (2024)

Shabir Ali Xinhua Wang Zuhra Tayyab M.A.K. Yousaf Shah Iftikhar Hussain

10.1016/j.mseb.2024.117925

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Citations (1)

UAV route planning based on improved whale optimization algorithm and dynamic artificial potential field method

2022 5th International Symposium on Autonomous Systems (ISAS) (2023)

Ru Wan Xinhua Wang Ziyuan Ma

Aiming at the problem that the global path optimization cannot be guaranteed in the dynamic path planning of rotorcraft formation, a static path planning and dynamic obstacle avoidance algorithm combining the improved whale optimization algorithm and dynamic artificial potential field method is proposed. The optimization results of whale optimization algorithm are greatly affected by the distribution of initial solutions. The paper proposes to combine the hierarchical system of grey wolf optimization algorithm with the standard whale algorithm, and incorporate the first three historical optimal solutions into the calculation range of potential optimal solutions to improve the ability of the population to escape from the value of local minimum. The commonly used artificial potential field method includes the problem of target reachability and local minima. This paper improves the classical exclusion function model. On the basis of the improved model, the dynamic potential field model is added to realize the avoidance of dynamic obstacles. The simulation results show that the path planning ability of rotorcraft UAVs has been improved through the improvement of whale optimization algorithm and artificial potential field model, and the formation UAVs have the static path planning and dynamic obstacle avoidance ability. At the same time, it has great advantages in convergence speed and solution accuracy.

Maxima and minima

Obstacle avoidance

Potential field

10.1109/isas59543.2023.10164531

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Citations (2)

Multi-UAV Collaborative Target Consensus Detection Using Enhanced Particle Swarm Optimization

2022 IEEE International Conference on Mechatronics and Automation (ICMA) (2024)

Xinhua Wang Mingzhu Wei Xiaomei Xie Hongyu Zhang Qianqian Huang

Consensus algorithm

10.1109/icma61710.2024.10632903

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Citations (0)