The power wirelesssensornetwork integrates wirelesscommunication and intelligent sensing technology to monitor the operating status of power equipment in real-time, thereby improving the stability and safety of the...
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The power wirelesssensornetwork integrates wirelesscommunication and intelligent sensing technology to monitor the operating status of power equipment in real-time, thereby improving the stability and safety of the power system. However, numerous sensor data flows may lead to network congestion and end-to-end delays. In addition, in the power system, monitoring data has different delay constraints and reliability requirements, and it is necessary to divide the flow into different priorities for transmission. Therefore, this paper proposes a scheduling algorithm for power wirelesssensornetworks that considers service priority. We construct a power wirelesssensornetwork model that includes network topology, queue length and problem definition. Data flow priority and delay constraints are met by introducing queue weight factors and virtual queues. The Lyapunov optimisation method maximises the throughput of the priority classification-based power wirelesssensornetwork. Moreover, the queue stability of the scheduling algorithm is theoretically proved. The simulation results show that the proposed algorithm can ensure the stability of all queues and strictly meet the priority and delay constraints of various data flows in the network.
Underwater communication is a new frontier of telecommunications, supporting several applications, from glider control to sensornetwork management and allowing data fusion in what has been recently named the Internet...
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Underwater communication is a new frontier of telecommunications, supporting several applications, from glider control to sensornetwork management and allowing data fusion in what has been recently named the Internet of Underwater Things implemented via acoustic or optical communications. These two technologies show limitations concerning the available communication bandwidth and/or coverage, with the former being suitable for long-range low-rate links and the latter performing broadband transmissions over a few tens of meters in dark water conditions. Such drawbacks can be overcome by ultraviolet wirelesstechnology, which cannot cover the range of acoustic transmissions but can achieve a more convenient trade-off between data rate and transmission range than visible light transmission during daytime. The gain obtained by ultraviolet with respect to visible light communication can be highlighted under different conditions. In some propagation scenarios, UV allows the detection with a signal-to-interference ratio that is at least 4/5 dB higher than that of VLC and a spectral efficiency improvement of 1/2 b/s/Hz.
Due to the influence of sampling rate, signal-to-noise ratio and other factors on the composition rule perception algorithm of national art plane system, the performance of the composition rule perception algorithm of...
Due to the influence of sampling rate, signal-to-noise ratio and other factors on the composition rule perception algorithm of national art plane system, the performance of the composition rule perception algorithm of national art plane system is reduced. In order to improve the performance of the composition rule perception algorithm of national art plane system, a composition rule perception algorithm of national art plane system based on wirelesssensornetworkcommunicationtechnology is proposed. Initially, the cognitive device is being used to encode and sample each national art plane system's composition rule trigger. Then it is reconstructed and processed using wirelesssensornetwork information technologies. The composition rule perception algorithm of the national art plane system is represented using the method of composition rule perception algorithm, and and also realises the understanding of the composition rules of cultural art plane system. The simulation results show that the performance of composition rule perception algorithm based on wirelesssensornetworkcommunicationtechnology is the best.
In this study, a cognitive radio sensornetwork based on IEEE 802.11af technology is proposed for agricultural data with priority classes in smart agriculture. In IEEE 802.11af technology, the white space device (WSD)...
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In this study, a cognitive radio sensornetwork based on IEEE 802.11af technology is proposed for agricultural data with priority classes in smart agriculture. In IEEE 802.11af technology, the white space device (WSD), station (STA), and access point (AP) communicate over the television white spectrum without causing any harmful interference to primary services. In the proposed network structure, WSDs, STA, and AP use the frequency division multiple access (FDMA) technique to communicate over the white space spectrum determined by the white space map (WSM). WSD collects data, such as temperature, humidity, and pressure, from sensors in agricultural areas. The priority class is determined as red, yellow, and green. Depending on the emergency of the agricultural data, the aging solution is adopted for starvation mitigation in the queue. After the analytical model of the proposed network was obtained, the simulation model was implemented using Riverbed Modeler. The graphical results prove the validity and feasibility of the proposed network without any spectrum cost for monitoring priority-based agricultural data.
With the gradual approach of 6G networktechnology, the field of the Internet of Things (IoT) has ushered in unprecedented development opportunities, especially in the intelligent management of tennis. This article fo...
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With the gradual approach of 6G networktechnology, the field of the Internet of Things (IoT) has ushered in unprecedented development opportunities, especially in the intelligent management of tennis. This article focuses on the application of wireless self powered sensornetworks in tennis under the 6G network environment, exploring how this cutting-edge technology provides new solutions for monitoring, analysis, and management of tennis. This article proposes wireless and self powered sensornetworks to study tennis. wirelesssensor nodes are a fundamental component of wirelesssensornetworks. This article studies tennis through wireless and self powered sensornetworks. Through experiments, it can be clearly seen that the factors affecting the self powered wirelesssensornetwork in tennis show a diversified trend. Experimental data shows that creating a campus tennis atmosphere is crucial for the effective operation of sensornetworks, with an impact rate of up to 84%. This indicates that an active and positive tennis culture atmosphere can promote the widespread acceptance and application of sensornetworks. Secondly, the transformation of college students' consumption concepts (accounting for 58%) and their understanding and values of tennis (accounting for 49%) also significantly affect the effectiveness of technology adoption. These nontechnical factors work together in the intelligent process of tennis, highlighting the important influence of social culture and personal cognition on the application of technological innovation.
Light Fidelity (Li-Fi) is one of the key areas in wirelesscommunication that works in the same way as optical fiber, but the medium of transmission is free space. The design of a Light-emitting diode (LED) in Li-Fi t...
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ISBN:
(纸本)9781665482936
Light Fidelity (Li-Fi) is one of the key areas in wirelesscommunication that works in the same way as optical fiber, but the medium of transmission is free space. The design of a Light-emitting diode (LED) in Li-Fi technology makes changes in the way of communication that can be used for transmitting data by flashing light. On the other hand, sensors nodes in WSNs need photodiodes as a detector which plays an important part in receiving data from a LED and decoding it. Free space optical (FSO) communication has emerged as a feasible technique for broadbandwireless applications. In this article, we used two scientific software to analyze the performance of wirelesssensornetworks with Li-Fi technology: OptiSystem, which is a tool for developing and analyzing optical communication systems, and Matlab which is used to integrate results curves. In this analysis, we consider three models of wirelesssensornetworks that use photodetectors that receive data from LED throughout the FSO channel: the LOS model, the single LED non-LOS model and the two LED non-LOS model. When compared the models together, the experimental results indicated that the LOS model is the best for WSNs which use Li-Fi technology.
wirelesssensornetworks gradually became a mature technology that enabled the implementation of a large number of critical applications. However, the integration of such networks in much more complex systems, such as...
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wirelesssensornetworks gradually became a mature technology that enabled the implementation of a large number of critical applications. However, the integration of such networks in much more complex systems, such as IoT, still poses a major challenge. In this paper we present a viable solution to accomplish such a difficult task by using MQTT-SN to integrate critical real-time WSNs into an IoT platform. The core of our work is a platform independent real-time driver for MQTT-SN along with a communication architecture to enable the integration of low end devices into an MQTT network using MQTT-SN. We also describe a comprehensive practical demonstration using real hardware modules that validates our claimed solution.
Unmanned aerial vehicle (UAV)-based data gathering from wirelesssensornetworks is one of the recent research topics that has currently attracted research interest. One of the challenges for the UAV-aided WSN data co...
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Unmanned aerial vehicle (UAV)-based data gathering from wirelesssensornetworks is one of the recent research topics that has currently attracted research interest. One of the challenges for the UAV-aided WSN data collection efforts is to design an energy-efficient UAV/drone communication with arbitrarily dispersed ground sensors by improving the ground network structure. This paper aims to develop a technique titled UAV Fuzzy Travel Path' that supports UAV smooth path design and enables ground network topology shifting. A comprehensive UAV-based data collection model is proposed to enable dynamic orchestration/re-orchestration of wireless ground sensors to jointly improve network performance and UAV path fluidity. This provides a more flexible ground network framework that can be restructured based on network demands and UAV optimal paths, effectively allowing for a software-defined network concept. The main contribution of this work is the implementation of the software-defined wirelesssensornetwork on the ground network that adaptably supports the movement of the UAV and enhances the communicationnetwork's energy efficiency with a proposed latency analytical analysis via network orchestration/re-orchestration phases. The main significance of this research is in offering a flexible span for UAV path design than being fixed in one strict route for data gathering purposes. Four various simulation tools are employed for modelling and performance evaluation, namely MATLAB, CupCarbon, Contiki-Cooja and Mission Planner. The proposed software-defined ground network system demonstrates encouraging results in terms of network performance metrics including energy consumption of UAV versus ground sensor nodes energy usage, packet delivery rate, and the communication time of the ground orchestrated or/and re-orchestrated network.
An active integrated broadband photonics multi-beamformer using optical true-time delay induced Blass matrix is designed and demonstrated. The multi-beamformer is constructed on a standard silicon-on-insulator platfor...
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An active integrated broadband photonics multi-beamformer using optical true-time delay induced Blass matrix is designed and demonstrated. The multi-beamformer is constructed on a standard silicon-on-insulator platform, incorporating on-chip modulator array and photodetector array alongside a broadband multi-beamforming network. The network utilizes a Blass matrix architecture based on optical true-time delay to precisely control the power and delay of input microwave signals. Furthermore, wavelength division multiplexing technology achieved by multi-wavelength lasers is used to decouple the signals from different channels, enabling the simultaneous multi-beamforming. Radio-frequency characterizations indicate that the active integrated broadband photonic multi-beamformer is capable of covering the frequency range up to Ku-band and realizes five beams directed at 0(degrees), +/- 20(degrees), and +/- 40(degrees) by 4 input channels. Experimental measurements demonstrate good agreement with designed parameters, validating the compatibility and feasibility of this beamformer for large-scale antenna arrays in radar and wirelesscommunications systems.
The sixth generation (6G) of wirelesstechnology is seen as one of the enablers of real-time fusion of the physical and digital realms, as in digital twin, eXtended reality, or the Metaverse. This would allow people t...
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The sixth generation (6G) of wirelesstechnology is seen as one of the enablers of real-time fusion of the physical and digital realms, as in digital twin, eXtended reality, or the Metaverse. This would allow people to interact, work, and entertain themselves in an immersive social network of online 3D virtual environments. From the viewpoint of communication and networking, this will represent an evolution of the game networking technology, designed to interconnect massive users in real-time online gaming environments. This article presents the basic principles of game networking, and discusses their evolution toward meeting the requirements of the Metaverse and similar applications. Several open research challenges are discussed, along with possible solutions through experimental case studies.
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