Underwater Optical Wireless sensor Networks (UOWSNs) are gaining an increasing demand in industrial and commercial applications as they can achieve high-speed communication. However, prior arts concentrate on promotin...
Underwater Optical Wireless sensor Networks (UOWSNs) are gaining an increasing demand in industrial and commercial applications as they can achieve high-speed communication. However, prior arts concentrate on promoting the performance of UOWSNs, while the reliability issue has not been fully addressed. In this paper, we propose a novel reliable data delivery scheme based on a cluster structure. First, we determine the orientation of each sensor for directional optical communication, which aims to establish reliable next-hop links among sensors. We formalize such an orientation problem into a submodular function maximization problem and propose a greedy method with an approximation ratio guarantee to solve it. Then, a cluster head designation scheme is developed to improve the data delivery success rate while minimizing the number of cluster heads. Finally, extensive simulations are conducted to demonstrate the effectiveness of the proposed scheme. The results reveal that compared with other algorithms, the proposed scheme can ensure a data delivery success rate of over 98.5 % while only keeping 45.3% fewer cluster heads. Furthermore, test-bed experiments are carried out to verify the applicability of the proposed scheme in practical applications.
The construction of the power grid is a huge project involving various aspects such as electricity, communication and transportation. distributedsystems have the characteristics of convenient and flexible nonlinear d...
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The construction of the power grid is a huge project involving various aspects such as electricity, communication and transportation. distributedsystems have the characteristics of convenient and flexible nonlinear data collection, so higher requirements are put forward for distributed equipment monitoring. At present, domestic research on intelligent network technology is still in its infancy. However, with the rapid development of social and economic levels, more and more demands for power supply security and reliability have also increased. At the same time, the traditional power grid has serious network failure problems in the construction process, it cannot adapt to the modern communication system of modern cities, which has caused a huge impact on the power grid construction. The distributed real-time monitoring platform can timely detect the problems in the urban power system for the power supply department, and provide reliable, accurate, stable and safe services. This paper first analyzes the distributed optical fiber sensing technology, which uses the unique characteristics of optical fibers to connect the distributed optical fiber sensor array to the power grid monitoring network, and then uses the traditional power transmission method to monitor the urban distribution network in real time, determines grid operating status through data analysis and simulation measurements. Secondly, this paper analyzes the software scheme and implementation of remote real-time monitoring system, which provides technical support for the construction of distributed real-time monitoring system. Finally, this paper proposes the data transmission based on distributed gateway and monitoring network communication, and uses network routing protocol to monitor and protect parameters such as grid voltage, current and signal in real time, so as to realize the real-time monitoring of grid voltage.
Clustering is often utilised in wireless sensor networks to offer efficient and scalable operation. Typically, the goal of a clustering method is to produce a set of distinct groups that all meet a certain set of requ...
Clustering is often utilised in wireless sensor networks to offer efficient and scalable operation. Typically, the goal of a clustering method is to produce a set of distinct groups that all meet a certain set of requirements. In this study, we introduce a new clustering problem with the goal of producing multi-hop clusters that overlap with one another. Inter-cluster routing, node location, and time synchronisation protocols are just a few examples of where overlapping clusters become valuable in sensor networks. We also present a multi-hop clustering method (MHC) that uses randomization and distributedcomputing to address the overlapping clustering issue. The goal of MHC is to produce linked overlapping clusters that, on average, overlap the whole sensor network. We analyse and simulate many scenarios to demonstrate how to optimise the clustering process's parameters. In addition, the findings demonstrate that MHC generates clusters of about similar sizes, which facilitates load distribution among clusters. In addition, despite the scope of the network, MHC's clustering creation ceases after a certain length of time.
Aiming at the limitations of conventional distributed heterogeneous system testing, a simulation test method research of distributed heterogeneous system based on scene is proposed to improve the sufficiency of softwa...
Aiming at the limitations of conventional distributed heterogeneous system testing, a simulation test method research of distributed heterogeneous system based on scene is proposed to improve the sufficiency of software testing and meet users using standards. On the basis of studying the characteristics of distributed heterogeneous systems, combined with simulation testing methods and software running scene analysis, this method divides the simulation testing platform into three levels by hierarchical division. Combined with atomic scene and composite scene design, this method not only makes the testing more sufficient and meets users' needs, but also improves the maintainability and portability of the simulation testing platform, and simplifies the test scene design.
Under the circumstances of the massive scale DG(distributed Generation) accessed to the power grid, unprecedented challenges to peak and frequency regulation of the power system are brought up. With the purpose of imp...
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ISBN:
(纸本)9780738146331
Under the circumstances of the massive scale DG(distributed Generation) accessed to the power grid, unprecedented challenges to peak and frequency regulation of the power system are brought up. With the purpose of improving the ability of DG to participate in frequency control of power grid, a cluster partitioning method of DG cluster considering the balance of supply and demand of flexibility and response speed is proposed. First, the impact of wind and solar power on the load is analyzed, and the ability of DG and loads in the cluster to provide flexibility for the system is studied;second, a comprehensive index combining the supply-demand balance index, response speed index and modularity index is proposed and the GA(Genetic Algorithm) is used to divide the DG clusters;finally, to proof the effectiveness, the proposed clustering method were applicated to the ieee33 bus system.
Renewable energy generation has a numerous advantage, including increased sustainability and lower carbon emissions. In recent decades, solar PV based energy generation has attracted much more among the renewable ener...
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Autonomous mobile robot navigation is a challenging area of research due to various physical, hardware, and software issues. In this research, an autonomous robot system has been developed, which incorporates a visual...
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ISBN:
(数字)9798350372977
ISBN:
(纸本)9798350372984
Autonomous mobile robot navigation is a challenging area of research due to various physical, hardware, and software issues. In this research, an autonomous robot system has been developed, which incorporates a visual inertial navigation system (VINS) with the goal that the robot could conduct automated university campus tours. Mapping and state estimation rely on the accuracy acquired from fusing the data from the cameras and inertial measurement units (IMU). The fusion of these two sensors makes VINS systems more accurate and robust. We created a custom stereo inertial system and performed extensive evaluation to mitigate calibration issues such as noise and bias for accurate state estimation. The custom sensor infrastructure can be mounted on any mobile system. Furthermore, we tested our evaluation methodology on two challenging benchmark datasets, namely, EuRoC and TUM to determine the precision of the state estimator. Experiments show that VINS achieved highly accurate results in terms of calibration, reprojection, and trajectory estimation.
The growth of wireless sensor networks (WSNs) in smart healthcare is being driven by the growing range of portable real time Health scanners and locator labels that can record the state and location of both healthcare...
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In the past decade the internet that we know has changed from being governed by humans to inter-object devices that are able to communicate and share information by means of wireless communication protocols. This grow...
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Spatial modulation (SM) is a promising technique for 5G systems as it guarantees good data rate at reduced complexity. Increased data rate and increased energy efficiency is possible with spatial modulation due to the...
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