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5th IEEE International conference on Recent Trends in Computer Science and Technology, ICRTCST 2024

作者： Siddiqui, Shams Tabrez Hashmi, Syed Ghyasuddin Ali, Mohammed Maqsood Syed, Ziauddin Qidwai, Khalid Ali Salim, Abu Jazan University College of Engineering and Computer Science Department of Computer Science Jazan Saudi Arabia Applied College Jazan University Department of Business Administration Jazan Saudi Arabia

ISBN: (纸本)9798350351378

These underwater Acoustic sensor Networks (UWSNs) present unique challenges due to the harsh and dynamic underwater environment, making efficient communication protocols essential for their operation. This paper introduces an innovative Energy Efficient Clustering Routing Protocol (EECRP) specifically designed for UWSNs, leveraging the advancements of 6G technology. EECRP employs a distributed clustering mechanism and energy-efficient routing strategy to optimize energy consumption, prolong network lifetime, and enhance communication reliability. The protocol integrates with 6G technologies, such as terahertz communication and quantum communication security, to further enhance performance and security in UWSNs. Through simulation and comparative analysis, EECRP demonstrates superior performance compared to existing routing protocols in terms of energy efficiency, throughput, and scalability. EECRP's contributions lie in its novel approach to routing in UWSNs, emphasizing energy efficiency, sustainability, and integration with advanced technologies. This research paves the way for the adoption and deployment of EECRP in various underwater applications, facilitating scientific research, environmental monitoring, and technological innovation in underwater communication systems. © 2024 IEEE.

关键词： Scalability

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Integrating KLV Metadata with UAV Motion Imagery and Geo-Tagging for Enhanced GIS Playback 3

Integrating KLV Metadata with UAV Motion Imagery and Geo-Tag...

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3rd International conference for Advancement in Technology, ICONAT 2024

作者： Sakshi Gupta, Charu Patra, Tushar Kanti Bharat Electronics Limited Central Research Laborartory Uttar Pradesh India

ISBN: (纸本)9798350354171

With the growth of motion imagery, the ability to visually analyze video data and extract key features has advanced significantly. This technology incorporates essential geo-tagging, sensor, and platform orientation data into the video stream, providing geographic context for viewing and analysis. Recently, the use of multiple drones for detection and rescue operations has surged. These services leverage high-speed 5G networks to capture 4 K videos, processed through MEC (Mobile Edge Computing) servers for functions such as object detection. This paper focuses on reading, extracting, and interpreting metadata embedded in KLV Tags, associating location data with spatio-temporal motion imagery. The Precision Time Stamps of the MISP Time System in the metadata help correlate motion imagery with metadata, overlaying synchronized imagery on GIS at the respective location. The process involves reading the KLV Tag video stream, extracting KLV Tags in Hex format, converting them to text, and interpreting them using the MISB format. The system filters required information from the tags to associate location, extent of video frames, and sensor location with image frames of archived video based on precision time stamps. Geographical boundaries of video frames are overlaid on GIS, synchronizing spatio-temporal motion imagery with location metadata, enhancing the utility of motion imagery in various applications. © 2024 IEEE.

关键词： 5G mobile communication systems

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A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions

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IEEE ACCESS 2023年 11卷 44350-44376页

作者： Bin Hamed Almazrouei, Omar Saif Musabbeh Magalingam, Pritheega Hasan, Mohammad Kamrul Shanmugam, Mohana Univ Teknol Malaysia Razak Fac Technol & Informat Adv Informat Dept Kuala Lumpur 54100 Malaysia Univ Kebangsaan Malaysia Fac Informat Sci & Technol Ctr Cyber Secur Bangi 43600 Malaysia Univ Tenaga Nas Coll Comp & Informat Kajang 43000 Malaysia

Vulnerability assessment in industrial IoT networks is critical due to the evolving nature of the domain and the increasing complexity of security threats. This study aims to address the existing gaps in the literature by conducting a comprehensive survey on the use of attack graphs for vulnerability assessment in IoT networks. Attack graphs serve as a valuable cybersecurity tool for modeling and analyzing potential attack scenarios on systems, networks, or applications. The survey covers the research conducted between 2016 and 2021(34 peer-reviewed journal articles and 28 conference papers), identifying and categorizing the main methodologies and technologies employed in generating and analyzing attack graphs. In this review, core modeling techniques for IoT vulnerability assessment are highlighted, such as Markov Decision Processes (MDP), Feature Pyramid Networks (FPN), K-means clustering, and logistic regression models, along with other techniques involving genetic algorithms like fast-forward (FF), contingent fast-forwards (CFF), advanced reinforcement-learning algorithms, and HARMs models. The evaluation of the performance of these attack graph models using IoT networks or devices as case studies is also emphasized. This survey provides valuable insights into the state-of-the-art attack graph techniques for IoT network vulnerability assessment, identifying various applications, performances, research opportunities, and challenges. As a reference source, it serves to inform academicians and practitioners interested in leveraging attack graphs for IoT network vulnerability assessment and guides future research directions in this area.

关键词： Internet of Things Computer security Systematics Databases Metadata Wireless sensor networks Terminology Attack graph the Internet of Things network vulnerabilities vulnerability assessment

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Sensitivity-enhanced all-fiber displacement sensor based on Lyot filter 12

Sensitivity-enhanced all-fiber displacement sensor based on ...

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conference on advanced sensor systems and applications XII

作者： Tian, Rong Zhang, Haiwei Feng, Yao Lu, Qi Chen, Zhihong Xue, Lifang Shi, Wei Yao, Jianquan Tianjin Univ Technol Engn Res Ctr Optoelect Devices & Commun Technol M Sch Integrated Circuit Sci & Engn Tianjin Key Lab Film Elect & Commun Device Tianjin 300384 Peoples R China Qilu Univ Technol Shandong Acad Sci Laser Inst Int Sch Optoelect Engn Jinan 250014 Peoples R China Tianjin Univ Minist Educ Key Lab Optoelect Informat Technol Sch Precis Instrument & Optoelect EngnInst Laser Tianjin 300072 Peoples R China

ISBN: (纸本)9781510657090;9781510657083

An all-fiber optic high-sensitivity displacement sensor based on 45 degrees-spliced PM Lyot filter is proposed and its sensing performance is investigated experimentally. According to the relationships between the dips and the displacements, the sensor has a good linearity in passive mode, whose R square is larger than 0.998, and the highest sensitivity of 132.55 pm/mu m is obtained in the range of 200 mu m displacement variation. Moreover, it can be compatible to an intracavity displacement sensing system, achieving narrow linewidth, high signal-to-noise ratio (SNR), and high resolution. It can be found that the sensitivity of the intracavity displacement sensor can be 60 pm/mu m when the PMF fiber length is about 20 cm with a linewidth narrower than 0.05 nm and a SNR higher than 55 dB.

关键词： Displacement sensor fiber birefringence polarization interference Lyot filter intracavity system

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Modeling and simulation of the capacitive NEMS pressure sensor based on suspended graphene membranes

Modeling and simulation of the capacitive NEMS pressure sens...

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2024 International conference on Next Generation Electronics and Photonics, INGEP 2024

作者： Liu, Quan Zhang, Zhe Ding, Jie Zhang, Wendong Fan, Xuge Advanced Research Institute of Multidisciplinary Sciences Beijing Institute of Technology China Yangtze Delta Region Academy Beijing Institute of Technology. China School of Integrated Circuits and Electronics Beijing Institute of Technology China State Key Laboratory of Dynamic Measurement Technology North University of China China National Key Laboratory for Electronic Measurement Technology North University of China China

Nanoelectromechanical systems (NEMS) employing graphene have garnered significant attention for their potential applications in pressure sensors. Compared to other electrical readout mechanisms, capacitive sensing is a promising alternative one due to its less dependence on material properties and environmental factors. Graphene, with its unique properties, is an excellent candidate for high-performance NEMS pressure sensors. However, there are few studies on theoretical modeling of capacitive NEMS pressure sensors based on suspended graphene membrane. This paper presents the design, modeling and simulation of capacitive NEMS pressure sensors based on circular suspended graphene membrane. The impact of parameters of graphene membrane on the sensor performance is studied through COMSOL finite element analysis software. The results show that the sensitivity increased with the increase of the radius of graphene membrane but decreased with the increase of the thickness of graphene membrane, and the polar plate spacing determines the trade-off between the sensitivity and the measurement range. Further, decreasing the polar plate spacing increases the sensitivity but changes the capacitance-pressure relationship from linear to nonlinear. © Published under licence by IOP Publishing Ltd.

关键词： Microchannels

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Efficient Drone-Based Mobile Wireless sensor Network for Spatio-Temporal Environmental Monitoring 18

Efficient Drone-Based Mobile Wireless Sensor Network for Spa...

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18th IEEE International conference on advanced Networks and Telecommunications systems, ANTS 2024

作者： Kapoor, Ayshika Kumar, Dheeraj Indian Institute of Technology Department of Electronics and Communication Engineering Uttarakhand Roorkee India

ISBN: (纸本)9798350391725

The technological advancements in wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) or drones have made significant contributions in various fields, benefiting human society. Although WSNs have been widely used for environmental monitoring, their utility is constrained by inherent limitations, which make them suitable only for small-scale sensing tasks. On the other hand, UAVs provide quick access to large areas, including challenging terrains, allowing faster data collection that is both less labor-intensive and more cost-effective. In this paper, we present an efficient method to collect data for environmental monitoring using a drone-based mobile WSN system. The framework discretizes the region to be monitored into a 3D spatial-temporal field, where the field is further divided into sub-grids for the deployment of drones in each sub-grid. The drones utilize their built-in sensors to move around the designated region in a pre-defined trajectory to collect spatio-temporal data. In order to obtain parameter values at intermediate points within the surveyed region, interpolation techniques such as inverse distance weighting (IDW) and nearest neighbors (NN) are applied, ensuring comprehensive data coverage. To validate the feasibility of our proposed system, experiments are performed for temperature modeling applications using a simulated dataset, a real-world NYC weather dataset, and a real-time REST API dataset. The obtained results demonstrate that the proposed model is well-suited for large-scale sensing, even in remote areas, exhibiting cost-effectiveness and substantial reductions in labor and resource requirements, providing a robust and efficient solution for real-time environmental data collection and analysis. © 2024 IEEE.

关键词： Environmental monitoring

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Edge-Enabled Downlink Scheduling Scheme for 6TiSCH-Based IIoT Network 18

Edge-Enabled Downlink Scheduling Scheme for 6TiSCH-Based IIo...

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18th IEEE International conference on advanced Networks and Telecommunications systems, ANTS 2024

作者： Nayak, Sharmistha Yadav, Devendra Kumar Institute of Technical Education & Research Siksha 'o' Anusandhan University Centre for Internet of Things 751003 India Xim University School of Computer Science and Engineering 752050 India

ISBN: (纸本)9798350391725

The integration of the Internet of Things (IoT) with 6G networks promises a huge potential for improvised industrial communication. A large number of low-power communication technologies is expected to be part of 6 G in industrial IoT for data collection, forwarding, and actuation. Industrial IoT (IIOT) requires deterministic network services, which can meet the demand for real-time services. Edge-based solutions can help 6G networks meet the requirements of real-time services demanding lower latency. This work aims to address such real-time demands with efficient use of radio resources using 6TiSCH (IPv6 over Time Slotted Channel Hopping (TSCH) mode). In this paper, we propose an edge-based downlink scheduling scheme for the 6TiSCH-based IIoT network named EDSN. EDSN leverages a computation and communication model using edge computing and 6TiSCH scheduling to minimize the overall network latency for downlink data traffic. It schedules actuation (downlink) signals based on the criticality of the received sensor data and the location of the actuators. EDSN analyzes traffic at the edge nodes and allocates a suitable downlink schedule to meet the application requirements of the edge controller. The scheme offers a fair mechanism for provisioning timely schedules for low-priority packets and significantly reduces downlink action times compared to the state-of-the-art. Our experimental results demonstrate that EDSN can effectively reduce response times and improve packet delivery ratios for priority traffic, making it a promising solution for IIoT applications that require low response times and reliable packet delivery. © 2024 IEEE.

关键词： sensor nodes

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Tracking Trajectory by Using The Polynomial Method for ACC System Based on Smart Car Platform 17

Tracking Trajectory by Using The Polynomial Method for ACC S...

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17th International conference on Engineering of Modern Electric systems, EMES 2023

作者： Luu, Duc Lich Hung, Nguyen Viet Lupu, Ciprian University of Science and Technology The University of Danang Faculty of Transportation Mechanical Engineering Da Nang550000 Viet Nam East Asia University of Technology Faculty of Information Technology Bac Ninh Viet Nam University Politehnica of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350310634

A well-known advanced driver assistance technology that can be employed for that is the Adaptive Cruise Control System (ACC). Cars equipped with ACC system are to control the car speed to follow a driver's set speed closely when there is no leading car. When a slower leading car is present based on distance sensor, the ACC controlled car are able to keep desired distance with respect to the position and velocity of the car in front. This paper presents a design methodology of Adaptive Cruise Control (ACC) system for two smart car platform consist of the leading smart car and a host smart car move on a single lane on a laboratory installation. RST algorithm in the multi algorithms structure is proposed to design in real-time architecture for ACC system. RST algorithm is one of the most effective solutions for the real-time control of nonlinear systems or working regimes. The results of the experiment have been conducted to illustrate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Adaptive cruise control

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All fiber human heart-rate sensor based on the evanescent field disturbance in no-core fiber 12

All fiber human heart-rate sensor based on the evanescent fi...

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conference on advanced sensor systems and applications XII

作者： Feng, Yao Zhao, Mingda Zhang, Haiwei Tian, Rong Zhang, Youkui Chen, Zhihong Xue, Lifang Shi, Wei Yao, Jianquan Tianjin Univ Technol Engn Res Ctr Optoelect Devices & Commun Technol Minist Educ Tianjin 300384 Peoples R China Tianjin Univ Minist Educ Key Lab Optoelect Informat Technol Tianjin 300072 Peoples R China

ISBN: (纸本)9781510657090;9781510657083

An all-fiber sensor for heart rate (HR) monitoring is proposed and demonstrated based on the disturbance of the evanescent field in the no-core fiber (NCF). The sensing structure is realized through splicing a piece of single mode fiber at the ends of the NCF, respectively. When a broad-band light is injected into the structure, the vibration of the pulse signal applied to the sensing structure will lead to the disturbance of the evanescent field in the NCF and modulate the intensity of the optical output power. Therefore, when the sensing structure is placed at the wrist of a human, it can be used to monitor the HR. It is demonstrated that a standard electrocardiogram (ECG) signal can be obtained when 30mm long NCF is used in monitoring the HR. According to the measured ECG signals, the proposed sensor can have a response to the heart pulse at different rates ranging from 50 beats per minute to 120 bpm.

关键词： Coreless fiber heart rate detection ECG signal disturbance of the evanescent field intensity modulation

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Defective Microstrip Structure Based Phase Shifter with Reduced Size for Phased Antenna Array applications 12

Defective Microstrip Structure Based Phase Shifter with Redu...

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12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Khan, Hajra Khan, Shahid Nasir, Jamal Ali Shah, Syed Ahson Dalarsson, Mariana Alibakhshikenari, Mohammad Comsats University Islamabad Department of Electrical and Computer Engineering Pakistan Hanyang University Applied Bioelectronics Laboratory Seoul Korea Republic of School of Electrical Engineering and Computer Science Kth Royal Institute of Technology Stockholm Sweden Universidad Carlos Iii de Madrid Department of Signal Theory and Communications Spain

ISBN: (纸本)9798350358056

In this work, we propose a small-size and low-cost phase shifter based on defective microstrip structure (DMS) technique, with a modified reconfigurable unit cell (MRDMS) for WLAN applications at 5.2 GHz. The phase shifter is made up of an MRDMS unit, created by etching slots on a simple microstrip line with an outline of three bridges. To further increase the phase shift, a T-shaped slot is introduced in the central bridge and PIN diodes on the edges of the outer bridges are used. By switching the diodes on and off, the MRDMS unit cell is capable of operating in a variety of different modes to give a phase shift of 37.71° at 5.2 GHz. Additionally, MRDMS unit cells are cascaded for higher phase shift as required. Cascaded two- and four-cell phase shifters were designed and simulated in HFSS and a parametric study on various parameters was conducted to show the detailed operating properties of the proposed phase shifter. Compared to previously reported research, the present study shows that two cascaded phase shifters introduce 75.08° phase shifts and 151.75°, respectively. To the best of our knowledge, this is the maximum phase shift obtained by a phase shifter based on MRDMS. © 2023 IEEE.

关键词： defected microstrip structure phase shifter reconfigurable microwave system

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