The two control objectives of voltage regulation and precise current sharing are conflicting in multi-bus DC microgrids. In this paper, a distributed control strategy is proposed, and it can achieve accurate current s...
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Low earth orbit (LEO) satellite networks can seamlessly supplement terrestrial networks by providing a high capacity, wide coverage, and cost-effective solution. Positioned to play a significant role in the upcoming 5...
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In this paper, we investigate the problem of recovering the frequency components of a mixture of K complex sinusoids from a random subset of N equally-spaced time-domain samples. Because of the random subset, the samp...
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This study addresses the critical aspect of data collection within Wireless Sensor Networks (WSNs), which consist of autonomous, compact sensor devices deployed to monitor environmental conditions. These networks have...
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ISBN:
(数字)9798350369106
ISBN:
(纸本)9798350369113
This study addresses the critical aspect of data collection within Wireless Sensor Networks (WSNs), which consist of autonomous, compact sensor devices deployed to monitor environmental conditions. These networks have limited processing capacity, storage, short-range communication capabilities, and constrained battery power. A primary challenge in WSN s revolves around data gathering, particularly when employing static sinks, leading to premature energy depletion in nodes near these sinks. Integrating mobile collectors introduces the potential for energy conservation by shortening data routes. This article introduces three distinct algorithms for optimizing data collection in WSN s. Our approach involves an in-depth analysis of diverse strategies to mitigate packet collisions and facilitate the retransmission of lost packets. Our findings underscore the considerable impact that packet collisions can exert on the overall network performance during data gathering within wireless sensor networks. Through empirical exploration and analysis, we highlight the significance of these algorithms in enhancing the efficiency, energy conservation, and reliability of data collection processes within WSNs. This research sheds light on these algorithms' vital role in addressing the pressing challenges of data gathering and network performance optimization in wireless sensor networks.
In this study, we present the development and characterization of a self-powered, flexible, and multi-material 3D-printed Triboelectric Nanogenerator-Unit Cell Force (TENG-UCF) sensor designed for multimodal force sen...
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ISBN:
(数字)9798331530143
ISBN:
(纸本)9798331530150
In this study, we present the development and characterization of a self-powered, flexible, and multi-material 3D-printed Triboelectric Nanogenerator-Unit Cell Force (TENG-UCF) sensor designed for multimodal force sensing and energy harvesting. Traditional force sensors, limited by their reliance on single-modal electrical readouts and continuous external power sources, are insufficient for comprehensive sensory applications. Our TENG-UCF sensor overcomes these limitations by leveraging the unique properties of MXene/P ANI composites and SEBS tribo layers, enabling simultaneous force sensing and energy generation. This innovative sensor generates electricity through triboelectric charges produced during contact and separation cycles, with output voltage and capacitance directly correlating with applied force. The TENG-UCF achieves high sensitivity and stability, with a maximum output voltage of 700V and a power density of 816.6 mW/m
2
under optimal conditions. Extensive testing demonstrated the sensor's mechanical stability, and long-term operational viability without significant degradation. Our TENG-UCF sensor represents a significant advancement in sustainable, renewable, and multimodal force sensing technologies, with broad implications for the development of self-powered sensor systems.
Channel Autoencoders (CAEs) have shown significant potential in optimizing the physical layer of a wireless communication system for a specific channel through joint end-to-end training. However, the practical impleme...
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