We propose a new distributed collaborative beam-forming (DCB) solution that is robust (i.e., RDCB) against major channel estimation impairments over dual-hop transmissions through a wireless sensor network (WSN) of K ...
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ISBN:
(纸本)9798350333398
We propose a new distributed collaborative beam-forming (DCB) solution that is robust (i.e., RDCB) against major channel estimation impairments over dual-hop transmissions through a wireless sensor network (WSN) of K nodes with a nominally deterministic geometry, presumably rectangular (or a fortiori square). the source S first sends its signal to the WSN. then, each node forwards its received signal to the destination D after multiplying it by a properly selected beamforming weight. the latter aims to minimize the received noise power while maintaining the desired one equal to unity at the destination D. these weights depend on some channel state information (CSI) parameters. Hence, they have to be estimated locally at each node or fed back to it;resulting in either case in channel parameter estimation or feedback errors that could severely hinder DCB performance. Due to lack of space, we only account here for nodes location placement errors which would always amount to some additional phase error. Accounting for the massive connectivity characterizing new 5G and future 5G+/6G wireless technologies and the Internet of things (IoT), we develop alternative RDCB solutions that properly adapt both to monochromatic [i.e., line-of-sight (LoS)] and bichromatic (i.e., slightly to moderately scattered) propagation scenarios over the first hop while always assuming a LoS link over the second;referred to hereafter as MM-RDCB and BM-RDCB, respectively. We do so by exploiting i) very efficient asymptotic approximations at large numbers K of the WSN nodes and ii) the nominal geometric symmetries of their deterministic (rectangular or square) grid shapes. Furthermore, our new MM-RDCB and BM-RDCB solutions are distributed since their weights can be locally computed at every terminal, thereby dramatically improving both spectral and power efficiencies of the WSN. Simulation results show considerable gains and robustness of the proposed techniques in terms of achieved signal-to-nois
the Car-hailing software system faces the challenge of peak traffic before holidays. To address such challenges, it is crucial to conduct capacity planning for the various service systemsthat the Car-hailing software...
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Wireless sensor nodes, used in disaster management and industrial applications, typically require high reliability and low energy consumption. this reliability is often hindered due to bursty channel errors in practic...
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Effective maritime environment monitoring with underwater wireless sensor networks (UWSNs) depends on having optimal network coverage and connectivity through suitable node deployment within a designated detecting reg...
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the advent of the Internet-of-things (IoT) presents a solution to improving agricultural crop production, to achieve food security and meet the sustainable development goal to eliminate hunger. A literature review ind...
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ISBN:
(数字)9781665484220
ISBN:
(纸本)9781665484220
the advent of the Internet-of-things (IoT) presents a solution to improving agricultural crop production, to achieve food security and meet the sustainable development goal to eliminate hunger. A literature review indicates that an energy efficient wireless sensor network (WSN) is a good solution for remote crop monitoring. One way of creating an energy efficient WSN is to ensure that the nodes themselves are energy efficient. this paper presents a preliminary analysis of an energy efficient sensor node, a key component in an IoT-based wireless sensor network solution for crop monitoring. A review of recent literature articles is used to analyze the energy usage of each of the components and the energy contribution of a solar harvesting sub-system. Our analysis, in a generic model that can be used to effectively design an energy efficient wireless sensor node.
Photonic integrated circuits provide compact and efficient solutions for multimodal spectroscopic sensors. However, the resulting sensory data is highly complex and contains significant redundancy. To circumvent high ...
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Withthe increase in the need to maintain uninterrupted power supply, due to sensitive devices in modern industry, more and more attention is paid to the protection of distribution lines in atypical construction condi...
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the article discusses fault-tolerant neural network moisture sensors development methodology for pasty and bulk materials. the input of the neural network humidity sensor receives information from primary measuring tr...
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Wireless sensor Network (WSN) is expansively employed in the Network Control System (NCS). Wormhole (WH) attack detection is a burdensome process, specifically over WSN. A distributed passive state of WH attack makes ...
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the ongoing digital transformation of industry is most clearly reflected in the increasing collection and analysis of data from various sources. Among these are sensor equipped machinery, telemetry in logistics or aud...
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the ongoing digital transformation of industry is most clearly reflected in the increasing collection and analysis of data from various sources. Among these are sensor equipped machinery, telemetry in logistics or audiovisually monitored production floors. In order to utilize the data, e.g., to predict machinery malfunctions, its technically smooth consolidation is crucial. therefore, numerous data interchange formats, protocols and middleware emerged over the past years. However, until today there is no gold standard technology stack for industrial data analysis, for multiple reasons, including the applications' heterogeneity. In this work, we present a software library which aims at decoupling messaging protocols and patterns from their implementation to overcome incompatibilities and, thus, facilitate data consolidation for software engineers. Moreover, we show how to use the library for rapidly modeling distributed cyber-physical systems using an integrated schema generation mechanism. Based on one real-world and one synthetic use case, we evaluate the library's applicability, discuss open issues and outline planned features. (C) 2024 the Authors. Published by Elsevier B.V.
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