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LoBee: Bidirectional Communication between LoRa and ZigBee based on Physical-Layer CTC

IEEE Transactions on Wireless Communications 2025年

作者： Gao, Demin Wang, Haoyu Chen, YongRui Ye, Qiaolin Wang, Weizheng Guo, Xiuzhen Wang, Shuai Liu, Yunhuai He, Tian Nanjing Forestry University College of Information Science and Technology Artificial Intelligence Nanjing210037 China University of Minnesota The Department of Computer Science and Engineering 55414 United States University of Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Beijing100049 China Southeast University The School of Computer Science and Engineering Nanjing211189 China City University of Hong Kong Department of Computer Science 999077 Hong Kong College of Control Science and Engineering Zhejiang 310027 China Peking University The Department of Computer Science and Engineering Beijing100871 China University of Minnesota The Department of Computer Science and Engineering Minneapolis55414 United States

LoRa networks operating in a star topology, this configuration creates a single point of failure and may limit scalability and reliability in areas that are large and geographically dispersed. In order to improve the overall transmission capabilities of the network, recent studies show that adding LoRa to the ZigBee devices effectively disseminates network management. By doing so, the strengths of both technologies can be leveraged, with LoRa serving as the long-range transmitter and ZigBee functioning as the mesh network. In this study, we present LoBee, a novel bidirectional communication method between LoRa and ZigBee that relies on Physical-Layer Cross-Technology Communication. Despite the fact that LoRa and ZigBee utilize different modulation techniques, ZigBee devices can detect and recognize LoRa chirps through the process of sampling the received signal strength. For the transmissions from ZigBee to LoRa devices, we carefully select the input chips to generate specific waveforms, where LoBee detects the preamble of a ZigBee frame based on the locations of the repeated peaks. Our evaluation, which was conducted using USRP and commodity devices, demonstrates that LoBee is capable of achieving concurrent bidirectional wireless communications, with a data rate of approximately 639.38 bits per second from LoRa to ZigBee and from ZigBee to LoRa with more than 90% frame reception rate in the 2.4 GHz frequency band. © 2002-2012 IEEE.

关键词： Zigbee

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Global scale solar energy harnessing: An advanced intra-hourly diffuse solar irradiance predicting framework for solar energy projects

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Neural Computing and Applications 2024年第18期36卷 10585-10598页

作者： El-kenawy, El-Sayed M. Bailek, Nadjem Bouchouicha, Kada Zerouali, Bilel Hassan, Muhammed A. Kuriqi, Alban Jamil, Basharat Colak, Ilhami Khalil, Adel Ibrahim, Abdelhameed Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura35111 Egypt Laboratory of Mathematics Modeling and Applications Department of Mathematics and Computer Science Faculty of Sciences and Technology Ahmed Draia University of Adrar Adrar01000 Algeria Energies and Materials Research Laboratory Faculty of Sciences and Technology University of Tamanghasset Tamanrasset10034 Algeria MEU Research Unit Middle East University Amman Jordan Adrar01000 Algeria Vegetal Chemistry-Water-Energy Laboratory Faculty of Civil Engineering and Architecture Department of Hydraulic Hassiba Benbouali University of Chlef Ouled Fares Chlef02180 Algeria Mechanical Power Engineering Department Faculty of Engineering Cairo University Giza12613 Egypt School of Architecture University of Waterloo 7 Melville St S CambridgeONN1S 2H4 Canada CERIS Instituto Superior Tecnico Universidade de Lisboa Lisbon Portugal Civil Engineering Department University for Business and Technology PristinaKosovo10000 High Temperature Processes Unit IMDEA Energy Institute Av. Ramón de La Sagra 3 Móstoles Madrid28935 Spain Faculty of Engineering and Architectures Nisantasi University Istanbul Turkey Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura35516 Egypt

Diffuse horizontal irradiance (DHI) forecasts are critical for adopting solar photovoltaic technology. Yet, they can lack reliability given the limited and uncertain meteorological data available for desert areas. This research develops a new sine cosine dipper throated optimization (SCDTO) technique, targeting DHI prediction even given such data constraints. SCDTO uniquely hybridizes sine cosine metaheuristics, adept at exploration, with dipper throat optimization, providing focused exploitation. This hybridization aims to create a robust ensemble model capable of delivering reliable DHI predictions despite climatic uncertainty. The ensemble model, employing various input combinations, was rigorously evaluated across multiple meteorological stations. The SCDTO algorithm exhibited remarkable performance improvements, yielding substantial reductions exceeding 93% in root mean squared error and 98% in mean absolute error at key stations in Morocco, including Tan-Tan, Zagora, Erfoud, and Oujda. Comparative analyses against established optimization algorithms consistently underscored the superior predictive capabilities of SCDTO. Visualizations, including box plots and histograms, demonstrated SCDTO’s efficacy in minimizing prediction errors, particularly for Tan-Tan, Zagora, and Erfoud stations. Also, statistical validation through one-way analysis of variance (ANOVA) further affirmed the significance of the proposed SCDTO method. Therefore, this hybrid metaheuristic optimization enables more accurate DHI predictions from limited meteorological data. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Solar energy

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Predicting CircRNA-Disease Associations Based on Improved Weighted Biased Meta-Structure

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Journal of computer Science & Technology 2021年第2期36卷 288-298页

作者： Xiu-Juan Lei Chen Bian Yi Pan School of Computer Science Shaanxi Normal UniversityXi'an 710119China School of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Department of Computer Science Georgia State UniversityAtlantaGA 30302U.S.A

Circular RNAs(circRNAs)are RNAs with a special closed loop structure,which play important roles in tumors and other *** to the time consumption of biological experiments,computational methods for predicting associations between circRNAs and diseases become a better *** the limited number of verified circRNA-disease associations into account,we propose a method named CDWBMS,which integrates a small number of verified circRNA-disease associations with a plenty of circRNA information to discover the novel circRNA-disease *** adopts an improved weighted biased meta-structure search algorithm on a heterogeneous network to predict associations between circRNAs and *** terms of leave-one-out-cross-validation(LOOCV),10-fold cross-validation and 5-fold cross-validation,CDWBMS yields the area under the receiver operating characteristic curve(AUC)values of 0.9216,0.9172 and 0.9005,***,case studies show that CDWBMS can predict unknow circRNA-disease *** conclusion,CDWBMS is an effective method for exploring disease-related circRNAs.

关键词： circular RNA(circRNA) circRNA-disease association meta-structure heterogeneous network

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The Evolution of Language in Social Media Comments

arXiv

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arXiv 2024年

作者： Di Marco, Niccolò Loru, Edoardo Bonetti, Anita Serra, Alessandra Olga Grazia Cinelli, Matteo Quattrociocchi, Walter Department of Computer Science Sapienza University of Rome Italy Department of Computer Control and Management Engineering Sapienza University of Rome Italy Sapienza University of Rome Italy Tuscia University Italy

Understanding the impact of digital platforms on user behavior presents foundational challenges, including issues related to polarization, misinformation dynamics, and variation in news consumption. Comparative analyses across platforms and over different years can provide critical insights into these phenomena. This study investigates the linguistic characteristics of user comments over 34 years, focusing on their complexity and temporal shifts. Utilizing a dataset of approximately 300 million English comments from eight diverse platforms and topics, we examine the vocabulary size and linguistic richness of user communications and their evolution over time. Our findings reveal consistent patterns of complexity across social media platforms and topics, characterized by a nearly universal reduction in text length, diminished lexical richness, but decreased repetitiveness. Despite these trends, users consistently introduce new words into their comments at a nearly constant rate. This analysis underscores that platforms only partially influence the complexity of user comments. Instead, it reflects a broader, universal pattern of human behaviour, suggesting intrinsic linguistic tendencies of users when interacting online. © 2024, CC BY.

关键词： Linguistics

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Creation of a Support Software for the Development of a System for Sending and Visualizing FBG Sensor Data for Aerospace Application

Creation of a Support Software for the Development of a Syst...

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IEEE Metrology for Aerospace

作者： Antonio Costantino Marceddu Alessandro Aimasso Antonio Scaldaferri Paolo Maggiore Bartolomeo Montrucchio Matteo D. L. Dalla Vedova Department of Control and Computer Engineering Politecnico di Torino Turin Italy Department of Control and Computer Engineering (DAUIN) Politecnico di Torino Torino Italy Department of Mechanical and Aerospace Engineering Politecnico di Torino Turin Italy Department of Mechanical and Aerospace Engineering (DIMEAS) Politecnico di Torino Torino Italy

Optical fiber-based sensors have rapidly increased their application fields across multiple engineering sectors. Their physical characteristics, including low weight, electrical passivity, immunity to electromagnetic disturbances, and high sensitivity, make them highly suitable for aerospace applications. A flying test bench was recently developed at the Politecnico di Torino to evaluate the performance of optical sensors applied to an aircraft model. To allows their fruition in near real-time, it was necessary to develop a pipeline of software capable of transmitting, saving, and displaying them on the ground. To carry out in-depth tests on their reliability it is necessary to carry out more tests with different sensors and configurations. However, doing flight tests for the sole purpose of testing the data acquisition system is too expensive and impractical. Therefore, it was developed an emulator software that can generate data like that obtained from the real system, saving time and resources. Thanks to it, it is now possible to exploit the complete test bench on the aircraft for the final verification campaign only. The results are therefore very positive and demonstrate the potential of the emulator also for the most recent applications.

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Speed Regulation of Converter-Driven DC Motors Via a Discrete-Time Reduced-Order GPIO with Genetic Algorithm 4

Speed Regulation of Converter-Driven DC Motors Via a Discret...

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4th International Conference on Communication, Information and Computing Technology, ICCICT 2021

作者： Vikhe, P.S. Tiwary, N.K. Kadu, C.B. Mandhare, V.V. Jadhav, V.K. Department Instrumentation & Control Engineering Pravara Rural Engineering College Loni India Department of Computer Engineering Pravara Rural Engineering College Loni India Department Instrumentation & Control Engineering Pravara Rural Engineering College Loni India

ISBN: (纸本)9781665404303

The aim of this work is to design a speed controller for DC motor tuning PID controller. To obtain an output with minimum errors, PID parameters are selected using bio-inspired optimization technique of Genetic Algorithm. The system with second order is used to control the speed. This work deals with optimization approach based on bio-inspired in controllers and its merits over traditional is discussed and implemented with help of MATLAB Simulink. DC motor is interfaced to Arduino via Motor driver circuitry. Discrete-Time Reduced-Order GPIO with Genetic algorithm computes parameter of PID controller. Thus, Arduino controls DC motor according to computed parameters. The optimization technique putforward in this work can also be applicable for systems having higher order, to provide effective system output having minimum errors. ©2021 IEEE

关键词： Genetic algorithms

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Complex Network Pinning control based on Adjacency Degree and Resistance Distance Algorithm 3

Complex Network Pinning Control based on Adjacency Degree an...

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3rd International Conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Zhong, Hao Jia, Haoran Jia, Yanting Sun, Haiyi School of Computer Science and Engineering Shenyang Jianzhu University Shenyang China School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China Office of Academic Affairs Shenyang Jianzhu University Shenyang China Department of Science Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9781510668867

In this paper, a new strategy for pinning control node selection is proposed, namely: pinning control strategy based on ADRD (Adjacency Degree and Resistance Distance) algorithm. Firstly, the model of the undirected network and the sufficient conditions to achieve synchronization are given. Secondly, the steps of the pinning control strategy based on the ADRD algorithm are specifically given and applied to dolphins network, and by comparing the pinning control strategy based on the resistance distance, it is concluded that: the pinning control strategy based on the ADRD algorithm is better than the pinning control strategy based on the resistance distance. Finally, the correctness and effectiveness of the method are verified by numerical simulation. © 2023 SPIE.

关键词： Complex networks

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Pinning control of Complex Networks Based on the entropy of Betweenness centrality and Node strength 3

Pinning Control of Complex Networks Based on the entropy of ...

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3rd International Conference on Green Communication, Network, and Internet of Things, CNIoT 2023

作者： Sun, Haiyi Cai, Liang Lv, Chenxinxiao Jia, Yanting Department of Science Shenyang Jianzhu University Shenyang China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang China School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China Office of academic affairs Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9781510668867

In order to solve the problem of pinning node selection in undirected weighted networks, a pinning control strategy based on the entropy of betweenness centrality and node strength is proposed in this paper. Firstly, a complex network model is given where each node is the same dynamical system, secondly, sufficient conditions for the synchronization of this network are given, and specific steps of the betweenness centrality and node strength entropy-based pinning control strategy are proposed and applied to different networks. Finally, by comparing the neighborhood information entropy-based pinning control strategy, it is found that in order to synchronize the network, the number of key nodes pinned by the proposed pinning control strategy is smaller than the neighborhood information entropy-based pinning control strategy under different coupling strengths. © 2023 SPIE.

关键词： Complex networks

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Detection of DDoS Attacks with Gaussian Mixture Model 9

Detection of DDoS Attacks with Gaussian Mixture Model

引用

9th Scholar's Yearly Symposium of Technology, engineering and Mathematics, SYSTEM 2023

作者： Cecchetto, Alessandro Conte, Giuseppa Napoli, Christian Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Institute for Systems Analysis and Computer Science Italian National Research Council Via dei Taurini 19 Roma00185 Italy Department of Computational Intelligence Czestochowa University of Technology Czestochowa42-201 Poland

A Distributed Denial of Service (DDoS) is an attack which aim is to stop or tamper with an online service incapacitating a server with a flood of packages or requests, using internet or intranet. The main aim of the DDoS attack is to collapse the network or server with abnormal traffic to make the service unavailable for the legitimate users. This problem is particularly profound, due to the development of emerging technologies, such as cloud computing, the Internet of Things or artificial intelligence techniques, from which attackers can take advantage by launching a huge volume of DDoS attacks at a lower cost, and it is much harder to detect and prevent DDoS attacks, because DDoS traffic is similar to normal traffic. In this paper we implement a novel technique implementing an unsupervised Gaussian Mixture Model (GMM) based algorithm. Using a real traffic dataset, the CIC-DDoS2019, for benchmark, the proposed GMM can achieve recall, precision, and accuracy up to 99%. Experiments reveal that this can be a promising solution for the detection of DDoS attacks. © 2023 Copyright for this paper by its authors.

关键词： Denial-of-service attack

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Lifespan and energy-oriented load balancing algorithms across sets of nodes in Green Edge Computing

Lifespan and energy-oriented load balancing algorithms acros...

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IEEE Cloud Summit

作者： Gabriele Proietti Mattia Roberto Beraldi Department of Computer Control and Management Engineering “Antonio Ruberti” Sapienza University of Rome Rome Italy

Green-powered edge computing architectures allow bringing computation in areas that are not reached by the power grids. More often, in applications for Precision Agriculture and Smart Cities, we could have a set of nodes that are coupled with an accumulator which is, during the day, re-charged by the energy harvested by small solar panels. With the latest advances in technology, the edge node is generally assimilated to be a low-power Single Board computer (SBC), and it is able to carry out even relatively demanding tasks. For example, it can run deep learning models to images or video sequences captured in loco by cameras. However, due to the differences in terms of power consumption and weather conditions, each node experiences a different lifespan, some nodes may even shut down prematurely, causing the interruption of the portion of the deployed service. In this paper, we propose three decentralized algorithms that solve the problem by making the nodes cooperatively balance the traffic in order to level and maximize their lifespan. By comparing the approaches in two different experiments by using a cluster of Raspberry Pi 4 we show that our solutions allow to increase the lifespan of the service of 10% on average wrt the case in which no algorithm is applied.

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