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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

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sensor FUSION: An Advance Inertial Navigation System using GPS and IMU 6

SENSOR FUSION: An Advance Inertial Navigation System using G...

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6th international conference on computing, Communication, Control and Automation, ICCUBEA 2022

作者： Kulkarni, Aniket D. Narkhede, Gaurav G Motade, Sumitra N School of Electronics and Communication Dr. Vishwanath Karad MIT-World Peace University Maharashtra Pune India School of Ece Dr. Vishwanath Karad MIT-World Peace University Maharashtra Pune India

ISBN: (纸本)9781665484510

Navigation is how everything moves around globally, and electronics have provided better solutions for appliances to work seamlessly. there are two broad navigation options for finding your location. One is a Global Positioning System (GPS) system, and the other one is by using the Inertial Measurement Unit (IMU). the IMU is nothing but a combination of accelerometers and gyroscopes. this paper puts light on the Inertial Navigation System (INS), which uses GPS and IMU to get navigation data. GPS and INS give us real-time velocity and position data required for navigation. However, GPS has a slow update rate, up to 1-10Hz, while IMU performs far better at gaining navigation data with an update rate up to 1KHz. IMU accumulates errors and drifts over time while GPS has a low update rate. these drawbacks make both systems unreliable when used alone. the proposed work talks more about the use of both sensors, and Raspberry Pi Zero using a sensor fusion technology. Removing drawbacks of both the sensors and the use of the Kalman Filter are discussed in the paper. © 2022 ieee.

关键词： Inertial navigation systems

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Firefly: Localizing Drones with Visible Light Communication and sensor Fusion 19

Firefly: Localizing Drones with Visible Light Communication ...

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19th Annual international conference on distributed computing in Smart systems and the Internet of things, DCOSS-IoT 2023

作者： Hernandez, Ricardo Ampudia Xu, Talia Huang, Yanqiu Zuniga Zamalloa, Marco A. University of Twente Department of Computer Science Netherlands Tu Delft Department of Computer Science Netherlands

ISBN: (纸本)9798350346497

In this paper, we propose a new approach where drones attain accurate localization by fusing information from artificial lighting and their embedded inertial and barometer sensors. Our system is able to provide accurate drone localization without the use of radios, GPS or cameras. We evaluate our framework, dubbed Firefly, with a testbed consisting of four light beacons and a mini-drone. Our results show that Firefly allows locating the drone within a few decimeters of the actual position;and compared to two state-of-the-art positioning methods that rely solely on lighting information, Firefly can reduce the localization error by 50 % and 80%.. respectively. © 2023 ieee.

关键词： Drones

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FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application 6

FLID: Intrusion Attack and Defense Mechanism for Federated L...

引用

6th ieee conference on Dependable and Secure computing, DSC 2023

作者： Hossain, Md Zarif Imteaj, Ahmed Zaman, Saika Shahid, Abdur R. Talukder, Sajedul Amini, M. Hadi CarbondaleIL62901 United States Southern Illinois University School of Computing CarbondaleIL62901 United States Florida International University Knight Foundation School of Computing and Information Sciences MiamiFL33199 United States

ISBN: (纸本)9798350382112

Connected autonomous vehicles (CAVs) are transforming the transportation business by incorporating advanced technology such as sensors, communication systems, and artificial intelligence. However, the interconnectedness and complexity of CAVs pose security vulnerabilities, making them possible targets for assaults. Intrusion detection is critical in protecting CAVs from harmful actions. this research investigates the use of federated learning, a privacy-preserving machine learning approach, for intrusion detection in CAVs. Federated Learning (FL) can improve the detection capabilities and robustness of intrusion detection systems in the CAV ecosystem by using the collective capacity of various CAVs while protecting data privacy. this paper provides an in-depth analysis of tailoring FL for collaborative intrusion detection in CAVs, as well as prospective future research areas in this domain. the findings of this study contribute to the advancement of secure and dependable CAV systems, opening the path for the widespread use of connected autonomous vehicles in the transportation industry. All code, data, and experiments are accessible on our Github1 repository.1https://***/speedlab-git/FLID © 2023 ieee.

关键词： Intrusion detection

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RBCP: A Reputation-based Blockchain Consensus Protocol for Internet of things 24

RBCP: A Reputation-based Blockchain Consensus Protocol for I...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Shang, Jiaze Lu, Tianbo Cai, Yingjie Luo, Shuang Jin, Zhaoxin School of Computer Science National Pilot Software Enginerring School Beijing University of Posts and Telecommunications Beijing China Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China

ISBN: (纸本)9798350319934

the application of blockchain in the Internet of things (IoT) solves the problem of centralization, enables data interaction of IoT nodes in untrusted environments. However, most of the blockchain consensus protocols are computationally expensive and poorly scalable, which cannot meet the current demand for low power consumption and low latency of IoT devices. Meanwhile, IoT nodes suffer from many malicious attacks. An effective reputation evaluation scheme is valuable for establishing a trusted, secure IoT environment with certain applications. In this paper, we propose RBCP, a novel reputation-based blockchain consensus protocol, and apply it to the IoT. the protocol divides IoT nodes into multiple regions, and consensus nodes in each region are selected based on real-time updated reputation values, which are used to participate in light PoW consensus and finally propose blocks. then, we model the deposits and profits of the nodes as Stackelberg game and analyze the relationship between them. To evaluate our proposed protocol, we compare it with existing consensus protocols through several experiments. Our experimental results show that RBCP has advantages in terms of TPS, consensus time, and communication consumption, proving that it has low latency and less consensus time under the premise of sufficient security. © 2022 ieee.

关键词： Internet of things

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An intelligent routing algorithm based on energy-efficient progressive-recursive clusters for wireless sensor networks 6

An intelligent routing algorithm based on energy-efficient p...

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6th international conference on Advanced Communication Technologies and Networking, CommNet 2023

作者： Hilmani, Adil Koundi, Mohammed Aouad, Siham Sabri, Yassine Maizate, Abderrahim Ayoub, Fouad Mohamed v University City of Rabat Superior School of Technologies of Sale Morocco Ibn Tofail University Ensa Kenitra Morocco Mohamed v University Smart Systems Laboratory ENSIAS Rabat Morocco Ibn Zohr University Laboratory of Metrology and Information Processing - Lmti FacuIty of Sciences Agadir Morocco University Hassan Ii RITM-ESTC/CED-ENSEM Casablanca Morocco Eratic Team LaREAMI Lab CRMEF-K Kenitra Morocco

ISBN: (纸本)9798350329391

the implementation of wireless sensor networks (WSNs) is central to the operation of smart parking in modern cities. these networks are responsible for monitoring and tracking the occupancy of each parking space in real-time. the WSNs consist of sensor nodes that detect, process, and transmit data to the base station at regular intervals. However, power and communication limitations in these nodes can impact the performance and quality of the network. Early energy depletion, for instance, can shorten the network's lifespan and necessitate the replacement of sensor nodes. To address these challenges, this paper proposes a WSN routing protocol that employs clustering to build clusters and facilitate multi-hop communication to the base station. this approach offers a robust and efficient algorithm that reduces power dissipation and extends the lifespan of both sensor nodes and the WSN network. Simulation results indicate that this proposed protocol is more energy-efficient, reliable in data transmission, and longer-lasting compared to other protocols commonly used in smart parking management. © 2023 ieee.

关键词： Internet of things

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CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of things 6

CCEI-IoT: Clustered and Cohesive Edge Intelligence in Intern...

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6th ieee international conference on Edge computing and Communications (ieee EDGE)

作者： Dehury, Chinmaya Kumar Dontat, Praveen Kumar Dustdart, Schahram Sriramat, Satish Narayana Univ Tartu Inst Comp Sci Tartu Estonia TU Wien Distributed Syst Grp Vienna Austria Univ Hyderabad Sch Comp & Informat Sci Hyderabad India

ISBN: (数字)9781665481403

ISBN: (纸本)9781665481403

the recent advancement in edge computing allows IoT devices to be smart enough to collect the surrounding data and react to the environment based on a predefined logic set or the instructions from a remotely located control center such as cloud computing. However, the intelligence in this smart environment is primarily implemented in the central controller, allowing no or little room for IoT devices to collaborate, share knowledge, and take advantage of peer devices' knowledge with zero or minimal reliance on the central controller. this leaves the whole system not scalable and inefficient in energy consumption. In this paper, we propose an approach where edge intelligence is imposed in a clustered and cohesive manner. this enables the IoT devices to form one or more clusters based on the intelligence they possess and operate collaboratively with or without any intervention of the remote control center. this allows IoT devices to efficiently collect and react to the environment, resulting in better service quality and further reducing overall energy consumption.

关键词： Edge Intelligence IoT clustered intelligence edge computing smart environment sensors

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DDPG Performance in thz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System 19

DDPG Performance in THz Communications over Cascaded RISs: A...

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19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Shehab, Muhammad Badawy, Ahmed Elsayed, Mohamed Khattab, Tamer Trinchero, Daniele Politecn Torino Turin Italy Qatar Univ Comp Sci & Engn Doha Qatar Qatar Univ Elect Engn Doha Qatar

ISBN: (纸本)9798350333398

thz technology is considered a key element in 6G wireless communication because it provides ultra-high bandwidths, considerable capacities, and significant gains. However, wireless systems operating at high frequencies are faced with uncertainty and highly dynamic channels. Reflecting intelligent surfaces (RISs) can increase the range of the thz communication links and boost the rate at the receiver. In contrast to the existing literature, we investigate the scenario of multiple access multi-hop (cascaded) RISs uplink thz networks in a correlated channel environment. We show that our inspected cascaded RIS system is over-determined and that the rate maximization optimization problem is non-convex. To this end, we derive a closed-form expression of the received power and derive an analytical solution based on pseudo-inverse to obtain optimum RISs' phase shifts that maximize the received signal power and hence increase the rate. In addition, we utilize deep reinforcement learning (DRL), which is capable of solving non-convex optimization problems, to obtain the optimum cascaded RISs' phase shifts at the receiver taking into account the situation of the spatially correlated channels. Simulation results demonstrate that the DRL algorithm achieves higher rates than the mathematical sub-optimal method and the case of randomized phases.

关键词： Wireless Communication 5G 6G RIS thz Machine Learning Deep Reinforcement learning

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A Camera-Based Remote sensor for Physical therapy in Parkinson’s Disease 6th

A Camera-Based Remote Sensor for Physical Therapy in Parkins...

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6th EAI international conference on Computer Science and Engineering on Digital Transformation in Organizations: New Challenges, COMPSE 2022

作者： Rojas-Arce, Jorge L. Marmolejo-Saucedo, José Antonio Jimenez-Angeles, Luis Department of Biomedical Systems Engineering Faculty Universidad Nacional Auonoma de Mexico Mexico City Mexico Facultad de Ingenieria Universidad Nacional Autonoma de Mexico Ciudad de Mexico Mexico

ISBN: (纸本)9783031347498

the present chapter shows a camera-based remote sensor for monitoring postural disorders. In recent years, several systems have been developed to capture human motion in real time using common RGB cameras. We analyze the performance of the sensor for the detection of basic body parts under a different exercise routine clinically proposed for Parkinson’s disease patients. In this study, we evaluate the ability of the OpenPose algorithm to detect specific keypoints of anatomical landmarks and estimate rotation, rate, and amplitude for head, shoulders, back, and pelvis. Based on our findings, we can say that OpenPose is a sufficiently robust algorithm that is capable of detecting slight motion parameters of a specific rehabilitation therapy, which could facilitate their use in a home environment specially in follow-up and management of the motor rehabilitation therapy for Parkinson’s disease. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Cameras

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CC-Guard: An IPv6 Covert Channel Detection Method Based on Field Matching 24

CC-Guard: An IPv6 Covert Channel Detection Method Based on F...

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作者： Wang, Jichang Zhang, Liancheng Li, Zehua Guo, Yi Cheng, Lanxin Du, Wenwen School of Cyber Science and Engineering Zhengzhou University Zhengzhou City China National Digital Switching System Engineering and Technological Research Center Zhengzhou City China China Xi'an Satellite Control Center Xi'an City China

ISBN: (纸本)9798350319934

As the IPv6 protocol has been rapidly developed and applied, the security of IPv6 networks has become the focus of academic and industrial attention. Despite the fact that the IPv6 protocol is designed with security in mind, due to insufficient defense measures of current firewalls and intrusion detection systems for IPv6 networks, the construction of covert channels using fields not defined or reserved in IPv6 protocols may compromise the information systems. By discussing the possibility of constructing storage covert channels within IPv6 protocol fields, 10 types of IPv6 covert channels are constructed with undefined and reserved fields, including the flow label field, the traffic class field of IPv6 header, the reserved fields of IPv6 extension headers and the code field of ICMPv6 header. An IPv6 covert channel detection method based on field matching (CC-Guard) is proposed, and a typical IPv6 network environment is built for testing. In comparison with existing detection tools, the experimental results show that the CC-Guard not only can detect more covert channels consisting of IPv6 extension headers and ICMPv6 headers, but also achieves real-time detection with a lower detection overhead. © 2022 ieee.

关键词： Network security

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A distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems 48

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filt...

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48th ieee international conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Hovine, Charles Bertrand, Alexander Leuven Belgium Signal Processing and Data Analytics Stadius Center for Dynamical Systems Leuven Belgium Leuven Belgium

ISBN: (纸本)9781728163277

computing the optimal solution to a spatial filtering problems in a Wireless sensor Network can incur large bandwidth and computational requirements if an approach relying on data centralization is used. the so-called distributed adaptive signal fusion (DASF) algorithm solves this problem by having the nodes collaboratively solve low-dimensional versions of the original optimization problem, relying solely on the exchange of compressed views of the sensor data between the nodes. However, the DASF algorithm has only been shown to converge for filtering problems that can be expressed as smooth optimization problems. In this paper, we explore an extension of the DASF algorithm to a family of non-smooth spatial filtering problems, allowing the addition of non-smooth regularizers to the optimization problem, which could for example be used to perform node selection, and eliminate nodes not contributing to the filter objective, therefore further reducing communication costs. We provide a convergence proof of the non-smooth DASF algorithm and validate its convergence via simulations in both a static and adaptive setting. © 2023 ieee.

关键词： Adaptive algorithms

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