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检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

共 5705 条记录，以下是71-80 订阅

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An Energy Efficient Clustering for Underwater Acoustic sensor Networks using 6G Technology 5

An Energy Efficient Clustering for Underwater Acoustic Senso...

引用

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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An Overview of Detection of Forest Fires Using Intelligent systems 5

An Overview of Detection of Forest Fires Using Intelligent S...

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5th ieee international conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Choudhary, Vijaya Guha, Paramita Hussain, Shahadat Banga, Alisha Sengupta, Sudhriti Yadav, Shikha Galgotias University UP Greater Noida India CSIR-National Physical Laboratory New Delhi India Bennett University The Times Group UP Greater Noida India Amity Institute of Information Technology Auup UP Greater Noida India

ISBN: (纸本)9798350383522

Forest fire is one of the most common hazards in forests. It not only poses a threat to flora and fauna but to the entire ecology, bio-diversity, and the environment. To prevent any damage from happening, quick action is required. Robots can act as a great first responders in this regard. In this paper, different approaches to the design of mobile robots are discussed. Also, different techniques for the acquisition of data and navigation of robots are elaborated in detail. © 2024 ieee.

关键词： Early Forest fire Detection mobile robots path planning robot locomotion sensor Nodes Wireless sensor Networks

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Enhancing sensor Accuracy: Integration of Kalman Filtering and Machine Learning 5

Enhancing Sensor Accuracy: Integration of Kalman Filtering a...

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5th international conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2024

作者： Cheng, Cunyu Chengdu University of Information Technology Chengdu China

ISBN: (数字)9798331506612

ISBN: (纸本)9798331506612

In modern industrial production, Environment, Health, and Safety (EHS) management is crucial. In temperature-sensitive environments like temperature-controlled workshops, precise control directly affects product quality and process accuracy. However, sensor data often deviate from true values due to noise, interference, and sensor quality issues. To address this, we propose a multi-sensor data fusion method combining Kalman filtering with machine learning. the method uses data from multiple temperature sensors, first applying Kalman filtering to reduce noise, followed by systematic error correction using Recurrent Neural Networks (RNN), Random Forests, and Gradient Boosting. Results show the integrated approach improves data accuracy and system stability, with RNN performing best in handling time-series data. this research supports EHS management systems and provides insights for related applications. © 2024 ieee.

关键词： Data accuracy

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Vehicle Routing Model to Avoid Street Congestions Using distributed systems 19

Vehicle Routing Model to Avoid Street Congestions Using Dist...

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

作者： Khorchani, Besma Sethom, Kaouthar Bouallegue, Ridha Univ Carthage SUP COM Innov COM Lab Ariana Tunisia Univ Tunis El Manar ENIT Tunis Tunisia

ISBN: (纸本)9798350333398

In large cities, road traffic congestion is a big concern especially with its negative effects on the economy and the environment. Hence, with the advance of the IoT and AI many smart solutions are proposed to deal with this problem. Yet, those solutions enclosed traffic congestion detection and light street manipulation. However, road jams still occur far away from street lights especially in rush hours and in unexpected situations such as accidents and extreme weather conditions. the aim of this study is to propose a solution that helps vehicles avoid traffic jams and congestions based on data analysis gathered from traffic sensors and from a publish-subscribe application integrated with a distributed system to give vehicle driver a real-time updates about the situation of his road traffic.

关键词： Traffic congestion smart city distributed systems IoT Machine Learning

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Assessing distributed Consensus Performance on Mobile Cyber-Physical System Swarms 19

Assessing Distributed Consensus Performance on Mobile Cyber-...

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

作者： Chen, Jiayi Vacheron, Maxime Ferreira, Bruno Chianca Silvestre, Guthemberg Univ Toulouse ENAC Toulouse France

ISBN: (纸本)9798350333398

Mobile Cyber-Physical System (CPS) Swarms are likely to change our daily lives significantly in several application domains, including smart cities, space exploration, environmental monitoring, and transporting systems. Yet, industrial projects fundamentally rely on centralized communication infrastructures which in turn lead to suboptimal performance and limited autonomy for both sensing and actuating. To enhance communication and distributed coordination within the swarm, reliable distributed computing through consensus protocols constitutes a promising approach. Nonetheless, only a handful of studies has considered evaluating reliable distributed computing in Mobile CPS Swarms. the goal of this work is to evaluate the performance of consensus protocols on CPS swarms with processing units deployed on mobile nodes. Running on top of an emulation framework for mobile CPS, our preliminary evaluation focuses on evaluating three key deployment aspects of Mobile CPS Swarms executing a consensus protocol: the effective cost of mobility;the impact of the connectivity of nodes and the eventual network partitions;and the price of continuous routing updates in the mobile environment. Our experimental results indicate the transient network partition in mobile environments are common. they also suggest that the sparsity of dynamic communication network and continuous routing updates have a major impact on the performance of distributed consensus protocols.

关键词： Fault-tolerant mobile computing distributed consensus Paxos Cyber-physical systems Swarm intelligence

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Low-Power Distinct Sum for Wireless sensor Networks 18

Low-Power Distinct Sum for Wireless Sensor Networks

引用

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

作者： William, Ebram Kamal Chan, Mun Choon Natl Univ Singapore Singapore Singapore

ISBN: (纸本)9781665495127

Continuous monitoring is a major component of many applications in wireless sensor network (WSN). In these applications, to reduce the communication overhead, some form of data summary or aggregation can be performed. However, performing non-trivial in-network data processing such as finding frequent items, Top-K monitoring, and clustering efficiently are challenging in practice. In this paper, we present Low-Power Distinct Sum (LDS), a distributed in-network data aggregation primitive that performs the sum of unique items in WSN. LDS serves as the underlying primitive that can be used to implement many distributed data processing efficiently. To demonstrate LDS's capabilities, we design and implement a distributed data streaming application with LDS running on Contiki OS. Compared to the baseline algorithm, LDS can reduce the completion time by up to 66%.

关键词： wireless sensor networks synchronous transmission distributed edge processing data aggregation

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Gray Wolf Optimization Algorithm to Enhance Data Aggregation in Wireless sensor Network 5

Gray Wolf Optimization Algorithm to Enhance Data Aggregation...

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5th international conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Loganathan, Sathyapriya Victoria Jancee, B. Senkamalavalli, R. Subbu Lakshmi, T.C. Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Kattankulathur India St.Joseph's College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India East Point College of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India Francis Xavier Engineering College Department of Information Technology Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350321425

Wireless sensor networks (WSNs) have become increasingly popular as distributed systems using small, lightweight nodes with limited resources for monitoring environmental conditions or measuring physical parameters. To minimize energy utilization, data aggregation can be employed to reduce the data quantity forward to the base station (BS). To solve these issues, a Gray wolf optimization algorithm (GWOA) is proposed to enhance data aggregation in WSN. Increasing the network lifetime, node reliability, and throughput with the selection of best cluster heads (CHs) utilizing the Gray Wolf Optimization (GWO) algorithm is the major objective of this research. this approach selects the CH by applying the GWO algorithm established on the node remaining energy, available bandwidth, and distance. the GWO-based clustering protocol minimizes dead nodes and energy utilization and raises the clustering rounds and throughput. the simulation results demonstrate that the increases the node reliability and network throughput. © 2023 ieee.

关键词： Energy efficiency

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Research on Multi-Agent System-Based Tracking Control for Battery Energy Storage systems 5

Research on Multi-Agent System-Based Tracking Control for Ba...

引用

5th international conference on Industrial Artificial Intelligence, IAI 2023

作者： Yang, Shengrong He, Dingxin Peng, Xiong Liu, Zhiwei Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350325294

this paper presents a coordinated control model for battery energy storage systems. Firstly, the characteristics of energy storage units, control objectives of algorithms, and the hierarchical architecture of energy storage systems are analyzed. then, corresponding distributed control strategies are proposed for homogeneous battery energy storage systems and discrete battery energy storage systems based on sampled data. the proposed strategies achieve the objectives of power tracking, power sharing, and consensus of state of charge (SoC) of the battery energy storage systems simultaneously. © 2023 ieee.

关键词： distributed parameter control systems

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MGC-Chain: A Blockchain Framework for distributed Maritime Computation 5

MGC-Chain: A Blockchain Framework for Distributed Maritime C...

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5th international conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2024

作者： Huang, Wei Liu, Jin Liu, Yuxin Wei, Lai Zhong, Dingchen Shanghai Maritime University College of Information Engineering Shanghai China University of La Verne LaFetra College of Education CA La Verne United States

ISBN: (纸本)9798331533991

With the rapid development of the coastal shipping industry, vessels face challenges of insufficient real-time data processing and computing power in complex marine environments, along with increasingly prominent energy consumption issues. To address these challenges, we propose an intelligent computing platform for vessels that integrates GPU and blockchain technologies. this platform consolidates idle GPU computing power to form a GPU computing pool, functioning similarly to a computing reservoir, allowing vessels to draw computing power in real time based on demand. We utilize blockchain technology to enhance system security, preventing data tampering and ensuring the safe handling of sensitive information. Additionally, by integrating edge computing technologies, we decentralize computing capabilities to coastal GPU providers, thereby reducing reliance on centralized cloud computing platforms. We believe this is the first intelligent computing platform to combine distributed GPUs, blockchain, and maritime computing power. © 2024 ieee.

关键词： Cloud platforms

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Prototyping distributed Botnet Detection System in Computer Networks 5

Prototyping Distributed Botnet Detection System in Computer ...

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5th international conference on computing and Informatics (ieee ICCI)

作者： Putra, Muhammad Aidiel Rachman Ahmad, Tohari Ijtihadie, Royyana Muslim Hostiadi, Dandy Pramana Inst Teknol Sepuluh Nopember Dept Informat Surabaya Indonesia

ISBN: (纸本)9781665499736;9781665499729

Being dangerous threats and attacks in this cyber era, botnets require proper handling. Nevertheless, some bot detection models that have been proposed are centralized and can only detect at one point of attack, even though there are two known types of botnet activity: single and bot group. In fact, attacks from grouped bots can have a series of attacks with the same pattern at several different attack targets. So, it requires a distributed detection model that can detect bot attacks on some detection sensors and assemble them in the form of correlation analysis. this paper proposes a prototype distributed botnet detection model that can synchronize detection in each detection sensor and analyze a series of bot attack activities. It aims to obtain information on the series of attacks that occur at several attack points and state as a correlated botnet attack scenario. With the existence of a distributed botnet activity detection prototype, it will be able to facilitate the analysis and anticipation process from the system and network security administrators.

关键词： bot detection correlation Intrusion Detection System network infrastructure network security distributed detection

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