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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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One Comparison of WSN Operating systems 11

One Comparison of WSN Operating Systems

引用

11th international conference on Electrical, Electronic and computing Engineering, IcETRAN 2024

作者： Glisic, Djordje RT-RK Computer Based Systems LLC Novi Sad Serbia

ISBN: (纸本)9798350386998

Wireless sensor networks are rapidly developing, field becoming more demanding and complex over the time. Each device is getting more responsibilities, sensing different environmental data, communicating with neighboring nodes, routing traffic, optimizing energy efficiency. Different communication stacks may be available on the node as well. Therefore, in order to support many tasks, different protocols and data exchange, it is necessary to transtion from a bare metal application, towards operating system and frameworks. This paper present an overview of available operating systems suitable for wireless sensor network microcontrollers (MCD). Key aspects of wireless sensor networks operating system are presented, and later are used to compare and evaluate available open-source OSs. © 2024 ieee.

关键词： sensor nodes

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Whose Data are Reliable: sensor Declared Data Reliability 19

Whose Data are Reliable: Sensor Declared Data Reliability

引用

19th international conference on Wireless and Mobile computing, Networking and Communications (WiMob)

作者： Shafin, Sakib Shahriar Karmakar, Gour Mareels, Iven Balasubramanian, Venki Kolluri, Ramachandra Rao Federat Univ Australia Ctr Smart Analyt CSA Ballarat Vic 3350 Australia Federat Univ Australia Inst Innovat Sci & Sustainabil Ballarat Vic 3350 Australia IBM Australia Pty Ltd IBM Consulting St Leonards Australia

ISBN: (纸本)9798350336672

sensor data is susceptible to faults, noise, and malicious attacks, posing a significant operational and security threat. Therefore, ensuring reliability of sensor data is critical for real-time monitoring systems. Prior research on sensor data reliability relies on edge or upper-layer devices for data fusion from multiple sensors, employing architectures with major overheads and latency due to transmission and storage demands. An alternative approach is to have the sensor estimate and declare its own reliability. While some methods involve sensors computing data confidence and including it in payloads, limitations arise in the absence of neighboring sensor data, and communication overheads are incurred. To address this problem, this paper proposes an innovative approach to enhance the reliability of sensor data using an intelligent self-declaration process. Proposed reliability estimation is evaluate with three lightweight estimation algorithms, namely, Kalman Filter, Holt-Winters Method, and Mahalanobis Distance using sensor's historical data. The reliability level is then added to the three reserved bits of a TCP packet header which results in zero additional overhead. Experiments conducted using real-world sensor data (from water quality monitoring systems) obtained from our IoT lab demonstrate the effectiveness of our proposal and the potential for application in real-world sensor-based applications.

关键词： Reliability

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distributed Online Video Management System Based on Cloud computing 4

Distributed Online Video Management System Based on Cloud Co...

引用

4th international conference on Expert Clouds and Applications, ICOECA 2024

作者： Li, Yueping Yin, Jun Capital University of Physical Education and Sports Haidian District Beijing100191 China

ISBN: (纸本)9798350385793

This study focuses on the design and implementation of a distributed online video management system based on cloud computing. First, this study introduces the basic concepts and development history of distributed systems, highlighting their advantages and challenges. Then, provides an overview of the current state of online video management systems and identify existing problems. To address these issues, this study proposes a novel distributed online video management system that utilizes cloud computing technologies to efficiently manage and distribute video data. In terms of video compression, a new algorithm based on perceptual compression that significantly reduces the size of video data while maintaining high visual quality is proposed. In addition, this study also presents a distributed online video analysis model, which utilizes the Hadoop framework to efficiently process large amounts of video data. Finally, the effectiveness of the proposed distributed online video management system is verified through experiments, demonstrating that it can significantly improve video management efficiency while maintaining high video quality. © 2024 ieee.

关键词： distributed cloud

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CoEdge: A Cooperative Edge System for distributed Real-Time Deep Learning Tasks 22

CoEdge: A Cooperative Edge System for Distributed Real-Time ...

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22nd ACM/ieee international conference on Information Processing in sensor Networks (IPSN)

作者： Jiang, Zhehao Ling, Neiwen Huang, Xuan Shi, Shuyao Wu, Chenhao Zhao, Xiaoguang Yan, Zhenyu Xing, Guoliang Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9798400701184

Recent years have witnessed the emergence of a new class of cooperative edge systems in which a large number of edge nodes can collaborate through local peer-to-peer connectivity. In this paper, we propose CoEdge, a novel cooperative edge system that can support concurrent data/compute-intensive deep learning (DL) models for distributed real-time applications such as city-scale traffic monitoring and autonomous driving. First, CoEdge includes a hierarchical DL task scheduling framework that dispatches DL tasks to edge nodes based on their computational profiles, communication overhead, and real-time requirements. Second, CoEdge can dramatically increase the execution efficiency of DL models by batching sensor data and aggregating the inferences of the same model. Finally, we propose a new edge containerization approach that enables an edge node to execute concurrent DL tasks by partitioning the CPU and GPU workloads into different containers. We extensively evaluate CoEdge on a self-deployed smart lamppost testbed on a university campus. Our results show that CoEdge can achieve up to 82.32% reduction on deadline missing rate compared to baselines.

关键词： Smart City Edge computing distributed Deep Learning System Real-time Scheduling Edge Containerization

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Research on a Bipolar Structure Voltage sensor Based on Capacitive Coupling Principle 5

Research on a Bipolar Structure Voltage Sensor Based on Capa...

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5th ieee international conference on Advanced Electrical and Energy systems, AEES 2024

作者： Luo, Bofeng Li, Shijie Hou, Tianyu Hu, Siyu Zhang, Chuyan China Southern Power Grid Company Limited Guangzhou China China University of Geosciences Beijing Beijing China

ISBN: (纸本)9798331517724

This paper investigates a bipolar structure voltage sensor based on the principle of capacitive coupling. The non-contact voltage sensor, based on electric field coupling, offers advantages such as simple structure, excellent insulation performance, and fast response. A bipolar differential electrode structure was designed for the sensor, and by reducing the internal resistance of the voltage follower circuit, the measurement stability and accuracy were improved. Simulation and experimental results indicate that the sensor can effectively detect electric field variations in a uniformly distributed field and exhibits good linear response in both low-frequency and power-frequency signal measurements, showing great potential for future applications. © 2024 ieee.

关键词： Capacitor bank

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Valuing Attrition in a Fleet of Robots Used as Path-Based sensors for Gathering Information in a Communications Restricted Environment

Valuing Attrition in a Fleet of Robots Used as Path-Based Se...

引用

2024 international conference on Intelligent Robots and systems

作者： McGuire, Loy Otte, Michael Sofge, Donald US Naval Res Lab Distributed Autonomous Syst Sect Washington DC 20375 USA Univ Maryland College Pk MD USA

ISBN: (纸本)9798350377712;9798350377705

In this paper we propose a new algorithm for robots searching a hazardous, communications-denied area to gather information using a robot fleet that has a limited number of agents. The centralized algorithm uses robot survival along search paths as a sensor event for a distributed sensor network. As agents are lost to hazards, the search behavior adjusts to prioritize agent longevity in order to maximize information gain. In the past, related work solving this problem has assumed an infinite number of agents. In contrast, we assume that the number of agents is finite. We use Bayesian inference to update target and hazard belief maps of an area using data from the probability of survival of prior agents' paths as well as sensor readings from the agents along those paths. Using those belief maps, the algorithm can construct paths that maximize information gain, in expectation, while taking into account the predicted decrease in future information collected when losing an agent. This behavior increases the likelihood that agents survive longer, allowing them to collect more data. Using simulations with various fleet sizes and probabilities for hazards disabling agents, we compare our algorithm to work that does not account for attrition. The results show an increase in the longevity of the fleet when hazards are more effective at disabling agents. In nearly all cases, this contributes to an increased rate in information gain when the fleet size is small. Small sized fleets, in our case 10 or less agents, do not meet a threshold of collected information necessary to direct agents away from hazards. Large fleets, over 200 agents in our scenario, collect most of the information before Our algorithm causes a noticeable change in agent behavior (as compared to existing techniques). We find that the proposed method provides the greatest advantage for mid-sized fleets, between 20 and 100 agents, and when hazards have an increased probability of immobilizing agents.

关键词： Robots

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A Logical Time-Triggered distributed computing Environment for Cyber-Physical systems with V2X Wireless Communication 1

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17th international conference on Information Technology and Applications, ICITA 2023

作者： Nakajima, Shunsuke Shimabukuro, Kenji Takehara, Eiya Yokoyama, Takanori Yoo, Myungryun WingArc1st Inc. Tokyo Japan BIGLOBE Inc. Tokyo Japan TOPPAN Edge Inc. Tokyo Japan Tokyo City University Tokyo Japan

ISBN: (数字)9789819983247

ISBN: (纸本)9789819983230

The paper presents a logical time-triggered distributed computing environment for cyber-physical systems utilizing V2X (Vehicle to Everything) wireless communication based on ieee802.11p protocol. Logical time-triggered processing realizes real-time distributed computing equivalent to the time-triggered architecture without time synchronization. We have developed a real-time operating system emulator running on Linux, which manages tasks based on EDF (Earliest Deadline First) scheduling with logical deadlines. We have also developed distributed computing middleware that manages logical time and timestamped messages and communication software that supports ieee802.11p. By using the distributed computing environment, logical time-triggered cyber-physical systems with ieee802.11p wireless communication can be developed without considering either timestamps or logical time. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Real time systems

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SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System 18

SynchroSim: An Integrated Co-simulation Middleware for Heter...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Dey, Emon Hossain, Jumman Roy, Nirmalya Busart, Carl Univ Maryland Baltimore Cty Ctr Real Time Distributed Sensing & Auton Dept Informat Syst Baltimore MD 21228 USA DEVCOM Army Res Lab Adelphi MD USA

ISBN: (纸本)9781665495127

With the advancement of modern robotics, autonomous agents are now capable of hosting sophisticated algorithms, which enables them to make intelligent decisions. But developing and testing such algorithms directly in real -world systems is tedious and may result in the wastage of valuable resources. Especially for heterogeneous multi -agent systems in battlefield environments where communication is critical in determining the system's behavior and usability. Due to the necessity of simulators of separate paradigms (co -simulation) to simulate such scenarios before deploying, synchronization between those simulators is vital. Existing works aimed at resolving this issue fall short of addressing diversity among deployed agents. In this work, we propose SynchroSim, an integrated co -simulation middleware to simulate a heterogeneous multi-robot system. Here we propose a velocity difference-driven adjustable window size approach with a view to reducing packet loss probability. It takes into account the respective velocities of deployed agents to calculate a suitable window size before transmitting data between them. We consider our algorithm specific simulator agnostic but for the sake of implementation results, we have used Gazebo as a Physics simulator and NS -3 as a network simulator. Also, we design our algorithm considering the Perception -Action loop inside a closed communication channel, which is one of the essential factors in a contested scenario with the requirement of high fidelity in terms of data transmission. We validate our approach empirically at both the simulation and system level for both line -of-sight (LOS) and non -line-of-sight (NLOS) scenarios. Our approach achieves a noticeable improvement in terms of reducing packet loss probability (approximate to 11%), and average packet delay (approximate to 10%) compared to the fixed window size-based synchronization approach.

关键词： Heterogeneous multi-robot systems NS-3 Gazebo Co-simulation Synchronization algorithm

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Variable Window and Deadline-Aware sensor Attack Detector for Automotive CPS 26

Variable Window and Deadline-Aware Sensor Attack Detector fo...

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26th ieee international Symposium on Real-Time distributed computing (ISORC)

作者： Akowuah, Francis Fletcher, Kenneth Kong, Fanxin South Dakota Mines Elect Engn & Comp Sci Rapid City SD 57701 USA Univ Massachusetts Comp Sci Boston MA 02125 USA Syracuse Univ Elect Engn & Comp Sci Syracuse NY USA

ISBN: (纸本)9798350339024

Cyber-physical systems (CPS) are susceptible to physical attacks, and researchers are exploring ways to detect them. One method involves monitoring the system for a set duration, known as the time-window, and identifying residual errors that exceed a predetermined threshold. However, this approach means that any sensor attack alert can only be triggered after the time-window has elapsed. The length of the time-window affects the detection delay and the likelihood of false alarms, with a shorter time-window leading to quicker detection but a higher false positive rate, and a longer time-window resulting in slower detection but a lower false positive rate. While researchers aim to choose a fixed time-window that balances a low false positive rate and short detection delay, this goal is difficult to attain due to a trade-off between the two. An alternative solution proposed in this paper is to have a variable time-window that can adapt based on the current state of the CPS. For instance, if the CPS is heading towards an unsafe state, it is more crucial to reduce the detection delay (by decreasing the time-window) rather than reducing the false alarm rate, and vice versa. The paper presents a sensor attack detection framework that dynamically adjusts the time-window, enabling attack alerts to be triggered before the system enters dangerous regions, ensuring timely detection. This framework consists of three components: attack detector, state predictor, and window adaptor. We have evaluated our work using real-world data, and the results demonstrate that our solution improves the usability and timeliness of time-window-based attack detectors.

关键词： attack detection sensor attack CPS Security Attack and Detection

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Integrated Preconcentrator-Enhanced Gas sensor for Low Power Detection of Low Concentration Toluene 38

Integrated Preconcentrator-Enhanced Gas Sensor for Low Power...

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38th ieee international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Son, Jeonghyeop Ko, Hee-Jin Jeong, Jaebum Kim, Jun Young Kim, Jongbaeg Yonsei University School of Mechanical Engineering Seoul Korea Republic of Gyeongsang National University Department of Semiconductor Engineering Jinju Korea Republic of

ISBN: (纸本)9798331508890

This paper presents a miniaturized semiconductor toluene gas sensor with an integrated diffusion-based preconcentrator. The proposed design, featuring a micro-scale integrated and suspended structure, enhances gas detection performance while maintaining low power consumption. Experimental results demonstrated improved sensitivity for toluene detection using pulse-actuation of a microheater. The device eliminates the need for a separate preconcentrator unit, along with any additional structures for pumping or gas flow restriction. The sensor achieves an average power consumption of only 3.26 mW for the microheater, making it suitable for distributed detection of volatile organic compounds (VOCs) at concentrations as low as 50 ppb. © 2025 ieee.

关键词： Volatile organic compounds

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