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

共 30781 条记录，以下是921-930 订阅

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distributed Topology Optimization for Agent-based Peer-to-Peer Energy Market 14

Distributed Topology Optimization for Agent-based Peer-to-Pe...

引用

14th ieee international conference on Communications, Control, and computing Technologies for Smart Grids, SmartGridComm 2023

作者： Kilthau, Maximilian Ansari, Daniel Fay, Alexander Helmut-Schmidt-University University of the Federal Armed Forces Hamburg Institute for Automation Technology Germany

ISBN: (纸本)9781665455541

Due to the ongoing energy transition the coordination of the power flow is shifting from centralized to decentralized, where autonomous systems such as software agents interact with each other. However, in contrast to centralized approaches, the communication effort of the agents significantly increases to share information among all agents, thereby an efficient communication approach in multi-agent systems is necessary. This paper proposes a novel distributed topology optimization approach that minimizes the communication effort in a peer-to-peer energy market, where agents buy and sell energy to efficiently dispatch energy flow. The approach is applied to a multi-agent system and simulations on an ieee-33 and ieee-119 bus network show that the proposed approach results in a higher financial gain with reduced communication effort compared to not applying the topology optimization. Overall, this approach has the potential to enhance the efficiency and scalability of energy management systems in a decentralized energy market. © 2023 ieee.

关键词： Topology

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Optimal Factored LT codes for distributed Matrix Multiplication 29

Optimal Factored LT codes for Distributed Matrix Multiplicat...

引用

29th ieee international conference on Parallel and distributed systems, ICPADS 2023

作者： Zhang, Lei Liu, Jie Capital Normal University Information Engineering College Beijing China

ISBN: (纸本)9798350330717

Due to the presence of slow or failed worker computers (called stragglers), distributed matrix multiplication over large clusters may encounter delays. To tackle this issue, Factored Luby Transform (FLT) codes have been proposed for edge computing scenarios involving distributed matrix multiplication of the form C = A ∗ B. However, the decoding time of FLT codes becomes a bottleneck in coded distributed matrix multiplication, primarily due to the high computational complexity associated with peeling decoding. To overcome this limitation, this paper introduces the modified generalized degree distribution algorithm (MGDDA) for designing an optimal degree distribution in FLT codes with BP decoding. The MGDDA algorithm minimizes overhead and maximizes performance efficiency in coded distributed matrix multiplication scenarios. Additionally, we propose an optimal encoding algorithm that achieves a balanced probability of connecting input symbols from matrices A and B to encoded symbols. This algorithm further enhances the performance of FLT codes. Simulation results consistently demonstrate that our proposed Optimal FLT (OFTL) method outperforms other existing approaches in terms of average overhead, block error rate (BER) and computational delay. © 2023 ieee.

关键词： Coded Computation Degree Distribution LT codes Matrix Multiplication

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BioDSSL: A Domain Specific sensor Language for Global, distributed, Biometric Identification systems 12

BioDSSL: A Domain Specific Sensor Language for Global, Distr...

引用

12th ieee international conference on Intelligent systems, IS 2024

作者： Hofer, Philipp Roland, Michael Mayrhofer, René Johannes Kepler University Linz Institute of Networks and Security Linz Austria

ISBN: (纸本)9798350350982

With biometric identification systems becoming increasingly ubiquitous, their complexity is escalating due to the integration of diverse sensors and modalities, aimed at minimizing error rates. The current paradigm for these systems involves hard-coded aggregation instructions, presenting challenges in system maintenance, scalability, and adaptability. These challenges become particularly prominent when deploying new sensors or adjusting security levels to respond to evolving threat models. To address these concerns, this research introduces BioDSSL, a Domain Specific sensor Language to simplify the integration and dynamic adjustment of security levels in biometric identification systems. Designed to address the increasing complexity due to diverse sensors and modalities, BioDSSL promotes system maintainability and resilience while ensuring a balance between usability and security for specific scenarios. Furthermore, it facilitates decentralization of biometric identification systems, by improving interoperability and abstraction. Decentralization inherently disperses the concentration of sensitive biometric data across various nodes, which could indirectly enhance privacy protection and limit the potential damage from localized security breaches. Therefore, BioDSSL is not just a technical improvement, but a step towards decentralized, resilient, and more secure biometric identification systems. This approach holds the promise of indirectly improving privacy while enhancing the reliability and adaptability of these systems amidst evolving threat landscapes and technological advancements. © 2024 ieee.

关键词： Decentralized systems

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Elderly Fall Detection System Using mm-Wave Radar sensor 4

Elderly Fall Detection System Using mm-Wave Radar Sensor

引用

4th international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Joy, Jeslet John, Amalda Theresa Anna Alex, Angel Nair, Adityakrishna S Sreesh, P.R. Manuel, Anto St Joseph's College of Engineering and Technology Dept. of Electronics and Communication Engineering Palai India

ISBN: (纸本)9798350343670

This project focuses on the implementation of an elderly fall detection system using millimeter-wave radar technology, prioritizing privacy preservation within indoor environments. By harnessing mm-wave radar, our system offers technical advantages over camera-based solutions. Radar operates in the radio frequency spectrum, ensuring privacy, as it does not capture visual data, addressing concerns regarding surveillance and consent. Technical aspects encompass mm-wave radar sensor deployment, signal processing algorithm development for fall detection, and real-time data analysis integration. Radar mitigates issues posed by low lighting, occlusions, and line-of- sight limitations common in camera-based systems. Additionally, machine learning enhances fall detection accuracy, reducing false alarms while maintaining high sensitivity. © 2024 ieee.

关键词： fall detection machine learning millimeter wave mm-wave Radar sensors Point Cloud radar sensor signal processing

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Predictive Wake-Up Based Optimized MAC Protocol Design for Underwater sensor Networks

Predictive Wake-Up Based Optimized MAC Protocol Design for U...

引用

2024 ieee international conference on computing, Applications and systems, COMPAS 2024

作者： Hossain, Md. Mortuza Nasir Uddin, Md. Kazary, Sumaya Rahman, Md. Obaidur Dhaka University of Engineering and Technology Gazipur Department of Computer Science and Engineering Gazipur Bangladesh

ISBN: (纸本)9798331529765

The Underwater Wireless sensor Network (UWSN) provides an effective way of communicating in aquatic environments to overcome the constraints of applying terrestrial MAC protocols. Due to unique challenges and requirements of underwater communication, designing specialized MAC protocols for UWSNs is crucial to conserve energy. Currently, research has focused on duty-cycled receiver-initiated asynchronous MAC protocols due to their superior performance over sender-initiated protocols and their ability to overcome the challenges of synchronous MAC protocols. However, existing UWSN MAC protocols suffer from re-transmissions, energy loss, protocol overheads, and longer duty-cycle periods. This paper proposes a MAC protocol for UWSNs, termed Predictive Wake-Up Based Optimized MAC (PWO-MAC) protocol, which incorporates an additive increase and multiplicative decrease (AIMD) technique along with a predictive wake-up scheduling approach. The proposed PWO-MAC protocol dynamically adjusts transmission rates, enabling re-transmissions only upon failure and reducing multiple transmission. The protocol optimizes protocol overhead, reduces energy consumption, ensures minimum delay and enhances network throughput. © 2024 ieee.

关键词： Energy utilization

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Spatial Monitoring Using Transmit-Only Static Wireless sensors Under Uncertainties: A Search-Based Detection Approach 16

Spatial Monitoring Using Transmit-Only Static Wireless Senso...

引用

16th ieee international conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Alasti, Hadi School of Polytechnic Purdue University Fort Wayne Fort WayneIN United States

ISBN: (纸本)9798331505264

This paper considers the spatial monitoring of a slowly varying, unknown distributed quantity, such as temperature over a wide area, using wireless sensors in the presence of time and frequency domain uncertainties, and additive white noise. It is assumed that a large number of wireless sensors collect their slowly-varying local data to share with a data fusion center (DFC) for spatial monitoring. The DFC employs a computationally efficient algorithm to recover the sensors' data in the presence of clock and carrier uncertainties, fast fading and noise. The blocks of a computationally efficient receiver are explored and instances of recovered data are presented at the DFC. The significance of the proposed approach are its low computational complexity, simplicity, and tractability for real-life applications. © 2024 ieee.

关键词： sensor data fusion

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Enhancement of Spectral Efficiency in Intelligent Reflecting Surfaces (IRS's) over distributed and Cloud-computing systems 2

Enhancement of Spectral Efficiency in Intelligent Reflecting...

引用

2nd international conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023

作者： Abed, Ghassan A. Jaleel, Inas F. Engineering College Network Engineering Department Al-Iraqia University Iraq Ministry of Higher Education and Scientific Research Iraq

ISBN: (纸本)9798350397635

The majority of computer networks and distributed systems, where cloud storage is located, experience several problems with the processes of storing these types of data, whether they are text files, audio files, video files, or other types of data, in addition to a fundamental problem, which is the inability to send and receive such data and access it from multiple points. In-depth discussions of these difficulties and suggestions for utilizing intelligent reflecting surfaces (IRSs) to improve distributed systems' data storage capacity, access speed, and acquisition will be provided in this study. In this paper, a virtual network was designed using Matlab software, where this network contains a group of IRSs to improve the performance of cloud and distributed computing by improving the speed of data transmission between the sender and receiver in addition to improving storage capacity. IRSs were used with supporting network hardware once, and again without supporting network hardware. The proposed system was implemented, and the results were very good when using IRSs without supporting hardware devices, because the presence of hardware devices may cause a defect in the data transmission process due to the problems that these devices face in their work. © 2023 ieee.

关键词： MATLAB

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Securing distributed computing in the Metaverse: A Balanced TGDH Encryption Scheme

Securing Distributed Computing in the Metaverse: A Balanced ...

引用

2023 ieee international conference on Metaverse computing, Networking and Applications, MetaCom 2023

作者： Bose, Anway Nori, John L. Bai, Li Temple University Philadelphia Department of Electrical Engineering PhiladelphiaPA United States

ISBN: (纸本)9798350333336

In this paper, we present a secure communication protocol based on a balanced Tree-based Group Diffie-Hellman (TGDH) key management solution for secure distributed computing in metaverse. The novelty of this work is that our modified TGDH algorithm balances the tree while preserving the distributed, secure architecture of group re-keying. The balanced tree ensures optimized computation regardless of join or leave events. This paper also presents a portable Python application programming interface (API) for the implementation of this secured group key management algorithm. This API addresses a lack of existing open-source implementations of TGDH, specifically in distributed-system architecture. From cloud based data sharing to distributed multi-agent frameworks and any secured computation application in metaverse, our algorithm can be easily and efficiently ported to any OS and used to secure group communications. © 2023 ieee.

关键词： Multi agent systems

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distributed Training for Deep Learning Models On An Edge computing Network Using Shielded Reinforcement Learning 42

Distributed Training for Deep Learning Models On An Edge Com...

引用

42nd ieee international conference on distributed computing systems (ICDCS)

作者： Sen, Tanmoy Shen, Haiying Univ Virginia Dept Comp Sci Charlottesville VA 22903 USA

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

With the emergence of edge devices along with their local computation advantage over the cloud, distributed deep learning (DL) training on edge nodes becomes promising. In such a method, the cluster head of a cluster of edge nodes schedules all the DL training jobs from the cluster nodes. Using such a centralized scheduling method, the cluster head knows all the loads of the cluster nodes, which can avoid overloading the cluster nodes, but the head itself may become overloaded. To handle this problem, we first propose a multi-agent RL (MARL) system that enables each edge node to schedule its own jobs using RL. However, without the coordination between the nodes, action collision may occur, in which multiple nodes may schedule tasks to the same node and make it overloaded. To avoid these problems, we propose a system called Shielded ReinfOrcement learning (RL) based DL training on Edges (SROLE). In SROLE, each edge node schedules its own jobs using multi-agent RL. The shield deployed in a node checks action collisions and provides alternative actions to avoid the collisions. As the central shield node for the entire cluster may become a bottleneck, we further propose a decentralized shielding method, in which different shields are responsible for different regions in the cluster and they coordinate to avoid action collisions on the region boundaries. Our container-based emulation experiments show that SROLE reduces training time by up to 59% with 29% lower median resource utilization and reduces the number of action collisions by up to 48% compared to multi-agent RL and the centralized RL. Our real device experiments show that SROLE still reduces the training time by up to 53% with 28% lower median resource utilization than multi-agent RL and the centralized RL.

关键词： Training Performance evaluation Deep learning Schedules Computational modeling Scalability Reinforcement learning

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A Modular distributed Operating System Architecture for Scalable Mesh Topologies

A Modular Distributed Operating System Architecture for Scal...

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2024 international conference on Emerging Trends in Smart Technologies, ICETST 2024

作者： Zaidi, Yaazir M. Nisar, Muhammad Usman Khan, Rukhshan Hamid, Anaum National University Of Computers & Emerging Sciences Fast School Of Computing Karachi Pakistan

ISBN: (纸本)9798331515850

Operating systems mediate user-device interactions, crucially managing resources, software execution, and application interfaces. In the face of technological advancements, the demand for secure, resilient, and scalable operating systems grows. This paper introduces a novel modular and decentralized operating system architecture, emphasizing robustness, scalability, and advanced parallel processing. The proposed mesh architecture diverges from conventional kernel designs, distributing responsibilities across nodes to eliminate a central point of failure, enhancing scalability and fortifying fault tolerance. The study advocates for a mesh-based operating system adaptable to diverse microprocessor platforms. © 2024 ieee.

关键词： Mesh generation

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