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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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Communication-Efficient -Stepping for distributed computing systems 19

Communication-Efficient -Stepping for Distributed Computing ...

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19th ieee international conference on Wireless and Mobile computing, Networking and Communications, WiMob 2023

作者： Zhang, Haomeng Xie, Junfei Zhang, Xinyu Department of Electrical and Computer Engineering United States San DiegoCA92182 United States SDSU Department of Electrical and Computer Engineering San DiegoCA92182 United States UCSD Department of Electrical and Computer Engineering La Jolla CA92093 United States

ISBN: (纸本)9798350336672

This paper considers the single source shortest path (SSSP) problem, which is the key for many applications such as navigation, mapping, routing, and social networking. Existing SSSP algorithms are designed mostly for shared-memory systems. Nevertheless, with the prevalence of diverse smart devices like drones, there is a growing interest in deploying SSSP algorithms over distributed computing systems so that they can run efficiently onboard of smart devices via Mobile Ad Hoc computing or at the network edges via Mobile Edge computing. In this paper, we introduce a communication-efficient -stepping algorithm for distributed computing systems. The proposed algorithm is featured by 1) a message coordination architecture for reducing message exchanges between workers, 2) a pruning technique for reducing redundant computations, and 3) an aggregation technique for further reducing message exchanges when communication delay is significant. Theoretical analyses and experimental studies on real-world graph datasets demonstrate the promising performance of proposed algorithm. © 2023 ieee.

关键词： Human resource management

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Sine Cosine Algorithm based Optimal Cluster Head Selection in Wireless sensor Networks 5

Sine Cosine Algorithm based Optimal Cluster Head Selection i...

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5th international conference on Smart systems and Inventive Technology, ICSSIT 2023

作者： Pitchaimanickam, B. Muthuvel, P. Rajasekar, R. Srm Institute of Science and Technology School of Computing Department of Computational Intelligence Chennai India Kalasalingam Academy of Research School of Computing Department of Cse Tamil Nadu Krishnankoil India

ISBN: (纸本)9781665474672

The sensor nodes are dispersed all through the environment to track changes in the physical and environmental conditions. Information from the environment is gathered with the help of sensors and transmitted to the Base Station (BS). The sensor node operates its sensing, computing, and communication processes using battery power. These procedures shorten the lifetime of the network and demand extra energy. The lifespan of the network problem can be effectively solved using the clustering strategy. In this paper, the Sine Cosine Algorithm (SCA) is recommended in the LEACH-C algorithm to discover efficient Cluster Head (CH). The proposed algorithm is developed by using the mathematical sine and cosine functions for finding the best solution. The proposed methodology finds the minimum distance and residual energy. This algorithm is implemented in Ns-2 for measuring the alive nodes and energy depletion. This technique minimizes energy utilization and maximizes network lifespan. © 2023 ieee.

关键词： Energy utilization

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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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Good Shepherds Care For Their Cattle: Seamless Pod Migration in Geo-distributed Kubernetes 6

Good Shepherds Care For Their Cattle: Seamless Pod Migration...

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6th ieee international conference on Fog and Edge computing (ICFEC)

作者： Souza, Paulo, Jr. Miorandi, Daniele Pierre, Guillaume Univ Rennes INRIA CNRS IRISA Rennes France U Hopper Trento Italy

ISBN: (纸本)9781665495240

Container technology has become a very popular choice for easing and managing the deployment of cloud applications and services. Container orchestration systems such as Kubernetes can automate to a large extent the deployment, scaling, and operations for containers across clusters of nodes, reducing human errors and saving cost and time. Designed with "traditional" cloud environments in mind (i.e., large datacenters with close-by machines connected by high-speed networks), systems like Kubernetes present some limitations in geo-distributed environments where computational workloads are moved to the edges of the network, close to where data is being generated/consumed. In geo-distributed environments, moving around containers, either to follow moving data sources/sinks or due to unpredictable changes in the network substrate, is a rather common operation. We present MyceDrive, a stateful resource migration solution natively integrated with the Kubernetes orchestrator. We show that geo-distributed Kubernetes pod migration is feasible while remaining fully transparent to the migrated application as well as its clients, while reducing downtimes up to 7x compared to state-of-the-art solutions.

关键词： Stateful Migration Kubernetes Geo-distributed Containers

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Dynamic Event-Triggered distributed Optimization for Multi-Agent systems with External Disturbances

Dynamic Event-Triggered Distributed Optimization for Multi-A...

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2023 international conference on Neuromorphic computing, ICNC 2023

作者： Fan, Jiaqi Hu, Cheng Xinjiang University College of Mathematics and System Science Urumqi830017 China

ISBN: (纸本)9798350316889

This paper is devoted to the distributed optimization issue for multi-agent systems (MASs) with external interferences. Firstly, a distributed protocol with dynamic event-triggered (DET) communication is proposed to avert continuous communication among intelligent agents, here an auxiliary variable is introduced for each individual to adjust dynamically its threshold. Then, it is proved that under the DET mechanism, the lower bound of the inter-event time between consecutive triggering moments is positive and the Zeno phenomenon is naturally eliminated. Moreover, the exponential convergence of the MASs is ensured and the external disturbance is rejected via utilizing the internal model (IM) principle. The proposed protocol is illustrated lastly by providing a specific example. © 2023 ieee.

关键词： Multi agent systems

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On Embedding a Dataflow Architecture in a Multi-Robot System 6

On Embedding a Dataflow Architecture in a Multi-Robot System

引用

6th ieee international conference on Robotic computing, (IRC)

作者： Bagchi, Menaxi J. Kulkarni, Divya D. Nair, Shivashankar B. Das, Pradip K. Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati India

ISBN: (纸本)9781665472609

In real-world robotic systems, new jobs may need to be executed even when the robots are executing the ones assigned earlier. These new jobs can crop up asynchronously and on-the-fly. In this paper, we propose a mechanism that uses the concept of dataflow computing coupled with mobile agent technology, to ensure that new jobs can be added online with minimal interference to the currently executing jobs. The entire system need not be brought to a standstill because of the addition and execution of the new jobs. The proposed mechanism facilitates simultaneous executions of the new jobs along with the ones currently executing. The mechanism also helps make the overall system constituting robots, embedded systems, sensors, personal computers, and mobile and static agents, execute in a decentralized and distributed manner. Experiments are conducted in both emulated and real worlds, using such heterogeneous entities to portray the proposed mechanism.

关键词： Multi-robot systems Multi-agent systems Intelligent agents Dataflow Architecture distributed and decentralized computing

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Enhancing Lifetime in Wireless sensor Networks through Image Processing-Based Clustering with Genetic Algorithm Routing 4

Enhancing Lifetime in Wireless Sensor Networks through Image...

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4th international conference on Soft computing for Security Applications, ICSCSA 2024

作者： Ilampari, M. Amina Begum, M. Mahesh Babu, N. Gopi, S. Mythreyee, M. Deivasigamani, Shanmugavel SIMATS Saveetha School of Law India Oxford College of Engineering Department of ECE Chennai India Anurag Engineering College Suryapet Department of Information Technology Telangana Kodad India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of CSE Chennai India Dr. MGR Educational and Research Institute Department of EEE Chennai India Jeppiaar Institute of Technology Department of Artificial Intelligence and Data Science Chennai India

ISBN: (纸本)9798331515720

Wireless sensor Networks (WSNs) are a very important technology widely used in diverse application domains of environmental monitoring, disaster management, health care, industrial automation etc. These are networks in which spatially distributed sensor nodes monitor physical or environmental conditions and communications data are processed through a base station. Here, we introduced a novel method for enhancing the efficiency and lifetime of WSNs by using the WSN to process images data and genetic programming (GA) to find the best route. A system model was developed to balance a network consisting of homogenous sensor nodes placed randomly in a particular geographical area, representing realistic scenarios. Each sensor node has limited energy resources, hence the operation of the network was partitioned into clustering phase and routing phase to optimal utilization of energy. To improve both the accuracy and efficiency of clustering, the genetic algorithm then identified the optimal path through these clusters using the best combination of pivot nodes for transmission. The proposed method applies image processing techniques to process sensor data, preprocesses sensor data, and then improves the classification process, clustering results, and the genetic algorithm obtains the more energy-efficient paths. Our extensive evaluation results prove substantial optimizations in network performance, energy efficiency and lifetime over known protocols. This method is expected to be effective in such applications as environmental monitoring, disaster management, and other applications that will utilize reliable and sustainable WSNs. © 2024 ieee.

关键词： sensor nodes

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LoDiHAR: A Low-Cost distributed Human Activity Recognition System Based on RFID 21

LoDiHAR: A Low-Cost Distributed Human Activity Recognition S...

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21st Annual ieee international conference on Sensing, Communication, and Networking, SECON 2024

作者： Sun, Xiaoqi Wang, Yanwen Zhang, Chenwei Wang, Zheng Shi, Xiaokang Zheng, Yuanqing Hunan University China Shenzhen Research Institute Hunan University China The Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9798331519186

Human Activity Recognition has been extensively applied to fulfill tasks such as fall detection, human-computer interaction, virtual reality, etc. Existing radio frequency-based HAR methods, although overcoming limitations of wearable-, visual-, and acoustic-based sensing technology, still suffer from high costs and low efficiency, which limits their pervasive use. In this paper, we propose LoDiHAR, a low-cost, distributed HAR system leveraging Radio Frequency Identification technology. LoDiHAR employs low-cost and fully programmable commercial wireless components, providing full access to the PHY samples of the backscattered signals, in which signal phases can be extracted to infer different activities. Different from COTS RFID systems that adopt a polling interrogation scheme, LoDiHAR supports a distributed sensing scheme, which profiles human activities more efficiently. LoDiHAR addresses a series of technical challenges such as accurate phase extraction from backscattered signals, asynchronous distributed RF data fusion and insufficient training data. A Conditional Generative Adversarial Network framework combined with a Transformer model is designed for accurate time-series activity classification. LoDiHAR demonstrates proficiency in recognizing eight types of human activities across diverse environments, achieving an accuracy of up to 94.9% while only costing 10% of the mainstream COTS RFID systems. © 2024 ieee.

关键词： Wearable sensors

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A Hybrid Optimization Strategy for k-Coverage Maximization in Wireless sensor and IoT Networks 3

A Hybrid Optimization Strategy for k-Coverage Maximization i...

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3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Dibrugarh University Dept. of CSE DUIET Assam Dibrugarh India Dibrugarh University Dept. of ECE DUIET Assam Dibrugarh India

ISBN: (纸本)9798331523893

In this paper, we propose a combination of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to create a hybrid optimization technique which meets k-coverage criteria in Wireless sensor Network (WSN) and Internet of Things (IoT). The goal of this approach is to increase the coverage area alongside minimizing the deployment cost of the sensors. Another aim is to reduce the power consumption. This technique is helpful to determine the optimal position of the sensors. It helps to ensure that each target point in the network is getting the coverage of at least k sensors. In this way we can enhance the reliability and robustness of the network. From experimental results, we can conclude that with optimal sensor utilization and minimized redundancy, our proposed approach achieves 97.14% coverage ratio with k-coverage equals 3. According to performance metrics, it is clear that there is consistent energy efficiency through the cycles. The approach converges in less than 3 second. So, this approach is applicable for real time applications. It is a hybrid metaheuristic approach which is very efficient in managing various challenges associated with sensor deployment. From this approach we can get solutions of coverage enhancement, energy efficiency and improved sensor utilization. © 2025 ieee.

关键词： Particle swarm optimization (PSO)

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Proceedings - 2024 ieee/ACM international conference on Big Data computing, Applications and Technologies, BDCAT 2024

Proceedings - 2024 IEEE/ACM International Conference on Big ...

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11th ieee/ACM international conference on Big Data computing, Applications and Technologies, BDCAT 2024

ISBN: (纸本)9798350367300

The proceedings contain 57 papers. The topics discussed include: machine learning-based big data analytics in smart cities: a survey of current trends and future research directions;attribute-based semantic type detection and data quality assessment;exploring the knowledge mismatch hypothesis: hallucination propensity in small models fine-tuned on data from larger models;an explanation technique for yield prediction in smart farming;optimizing domestic energy consumption: a comprehensive plug for enhanced monitoring and efficiency;an accurate salary estimation scheme by using bigdata technique;a novel transfer learning approach for detecting partial shading in photovoltaic systems;extracting health evidence information from biomedical literature using large language models;semantic communications for healthcare applications: opportunities and challenges;plant diseases recognition using machine learning algorithms;unusual invoice detection using a permutation based genetic algorithm;an efficient iris recognition technique through minimal preprocessing and custom CNN;a cloud-agnostic serverless architecture for distributed machine learning;age-friendly trip planning using ant colony optimization;and temporal dynamics and anomaly detection in transactional networks.

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