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

共 30780 条记录，以下是1291-1300 订阅

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A Resource-Efficient Asymptotically Equivalent GLRT Test for Radio Source distributed Detection 3

A Resource-Efficient Asymptotically Equivalent GLRT Test for...

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3rd ieee international Mediterranean conference on Communications and Networking, MeditCom 2023

作者： Maya, Juan Augusto Vega, Leonardo Rey Tonello, Andrea M. University of Klagenfurt Ubiquitous Sensing Lab Klagenfurt Austria University of Buenos Aires School of Engineering Buenos Aires Argentina University of Klagenfurt Institute of Networked and Embedded Systems Klagenfurt Austria

ISBN: (纸本)9798350333732

We consider the problem of distributed detection of a radio source emitting a signal. Geographically distributed sensor nodes obtain energy measurements, compute a local statistic, and transmit them to a fusion center, where a decision regarding to state of the source (on or off) is made. We model the radio source as a stochastic signal and deal with spatially statistically dependent measurements, whose probability density function (PDF) has unknown positive parameters when the radio source is active. Under the framework of the Generalized Likelihood Ratio Test (GLRT) theory, the positive constraint on the unknown multidimensional parameters makes the computation of the GLRT asymptotic performance (when the amount of sensor measurements tends to infinity) more involved. Nevertheless, we analytically characterize its asymptotic performance. Moreover, as the GLRT is not amenable for distributed settings because of the spatial statistically dependence of the measurements, we study a GLRT-like test where the joint PDF of the measurements is substituted by the product of its marginal PDFs, and therefore, the statistical dependence is completely discarded for building this test. Its asymptotic performance is proved to be identical to the original GLRT, showing that the statistically dependence of the measurements has no impact on the detection performance in the asymptotic scenario. Furthermore, the GLRT-like algorithm has a low computational complexity and demands low communication resources, as compared to the GLRT, which make it suitable for Wireless sensor Networks with scarce computation and communication resources. © 2023 ieee.

关键词： sensor nodes

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Energy Efficient Routing Algorithm with Mobile Sink Assistance in Wireless sensor Networks 2

Energy Efficient Routing Algorithm with Mobile Sink Assistan...

引用

2nd ieee international conference on Advances in computing, Communication and Applied Informatics, ACCAI 2023

作者： Sugumaran, S. Geetha, C. Suvitha, S. Bharath Kumar, P.C. Subha, T.D. Arunkumar, J.R. Sreenivasa Institute of Technology and Management Studies Department of ECE Andhara Pradesh Chittoor India R.M.K. Engineering College Department of Cse Chennai India S.A. Engineering College Department of ECE Chennai India Modern Institute of Technology and Research Centre Department of Cse Rajasthan Alwar India

ISBN: (纸本)9798350315905

In recent years, WSNs have been a hot topic. To simplify, imagine a network of several sensors that are autonomously structured and work together to gather, process, and communicate data about targets to a far-off control room. As the sensor nodes in a WSN are in charge of relaying data from the source to the destination, it is crucial that this process be carried out in an energy-efficient manner in order to keep the network operational. The installation of a mobile sink node, which may move along predetermined paths, can successfully mitigate this issue by causing hot spot nodes to be more uniformly distributed. In this study, we provide a routing scheme that minimizes energy consumption by using clustering and washbasin mobility. We cluster the entire network and investigate how many mobile sinks have an effect on the longevity of the network. Our simulation findings reveal that the optimal number of mobile sinks, in terms of network performance, is around 4. © 2023 ieee.

关键词： Energy efficiency

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Enhancement of Routing Flexibility by a Novel distributed Approach for WSN 4

Enhancement of Routing Flexibility by a Novel Distributed Ap...

引用

4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Ansari, Ahtshamuddin Deshpande, Bhargavi College of Law Iimt University Uttar Pradesh Meerut India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

Wireless sensor networks (WSNs) have been widely used in many applications such as environment monitoring and surveillance. Routing flexibility is one of the important issues to improve the performance of WSNs. In this paper, we propose a novel distributed approach to improve routing flexibility in WSNs. The proposed approach utilizes a graph-based mechanism to transmit the data packets over reliable and energy efficient paths. This approach dynamically adjusts the routing paths according to the changes in traffic patterns and environmental conditions. Moreover, we design an adaptive weight-based routing algorithm that can further increase routing flexibility. The proposed approach also provides an energy-aware mechanism and an efficient communication channel selection protocol to save the energy consumption of the network. The proposed mechanism has been simulated and evaluated through ns-2. The experimental results show that the proposed approach can significantly improve routing flexibility and reduce the energy consumption of the WSNs. © 2023 ieee.

关键词： Wireless sensor networks

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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...

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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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Wireless sensor Networks: Revolutionizing Explosive Detection 5

Wireless Sensor Networks: Revolutionizing Explosive Detectio...

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5th international conference on IoT Based Control Networks and Intelligent systems, ICICNIS 2024

作者： Sujith Kumar, P.S. Anand, C. Vasuki, N. Ramesh, V. Santhoshkumar, S.P. Sree Buddha College of Engineering Department of Computer Science and Engineering Kerala Alappuzha India Nandha College of Technology Department of Information Technology Erode India Government College of Engineering Department of Computer Science and Engineering Erode India School of Computing Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Avadi India

ISBN: (纸本)9798331518097

One of the important technologies for protecting civilian life from terrorist attacks is explosive detection techniques. The global incidence of terrorist activities has been considerably reduced by the development of explosive detection techniques, which has been made possible by ongoing technology improvements. Wireless sensor networks (WSNs) are one of these developments that has become an innovative tool for explosives detection. This work explores recent empirical research on the application of WSNs to explosives detection and includes statistical analysis of the investigations. Wireless sensor network with compatible specialized sensors is required for effective explosive detection. Three main wireless sensor system aspects that are relevant to explosives detection are covered in this research. It first looks at how scalable wireless sensors are in terms of explosives detection technologies. In the second section, it looks at the mobility and communication capabilities of WSNs and sensors in explosives detecting systems. Finally, it highlights potential hazards and weaknesses and addresses the crucial topic of data security inside wireless sensor networks used for explosive detection. The study also suggests incorporating drone assisted detection as a novel way to improve the coverage and effectiveness of explosives detection systems, adding to the continuous advancement of security technologies meant to shield civilian populations from terrorist threats. © 2024 ieee.

关键词： Terrorism

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Securing Wireless sensor Networks with an Intrusion Detection Technique Based on Grid Search Random Forest and Modified Feature Selection Technique 3

Securing Wireless Sensor Networks with an Intrusion Detectio...

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3rd international conference on computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Vadlamani, Satish Reddy, Indra Harshavardhan, Srinivasulu Tirupathi, Rajesh Gopalakrishna, Pandi Kirupa Abbas, Haider Mohammed Osmania University India Mallela Texas Tech University Lubbock Texas PlanoTX75025 United States Kendyala University of Illinois Springfield FriscoTX75035 United States Liverpool John Moores University PLACID DR MCKINNEYTX United States Campbellsville University HaywardCA94542 United States The Islamic University Najaf Iraq

ISBN: (纸本)9798331528386

sensor networks (WSNs) are fundamental components of multi-hop cyberphysical systems, incorporating stationary and mobile components. There are, however, many attacks that can disrupt the operation of WSNs and compromise security. This paper presents an Intrusion Detection System (IDS) framework that utilizes Grid Search Random Forest algorithms along with Boruta feature selection to meet these challenges. With this framework, WSN intrusions will be detected more accurately. Two benchmark datasets are used in the framework, NSL-KDD and CICIDS2017, representing different scenarios of network intrusion. Data are preprocessed through the use of Morphological Filtering and Extended Empirical Wavelet Transform, which eliminates noise and irrelevant features from the data. As a result of this preprocessing step, the model will be able to detect more accurately. © 2024 ieee.

关键词： Network intrusion

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Transfer Learning with Domain Adaptation for Unlabelled sensor Faulty Data Classification 15

Transfer Learning with Domain Adaptation for Unlabelled Sens...

引用

15th international conference on Information and Communication Technology Convergence, ICTC 2024

作者： Hasan, Md. Nazmul Toma, Rafia Nishat Jan, Sana Ullah Koo, Insoo University of Ulsan Department of Electrical Electronic and Computer Engineering Ulsan Korea Republic of Khulna University Electronics and Communication Engineering Discipline Khulna Bangladesh School of Computing Engineering and Built Environment Edinburgh Napier University Edinburgh United Kingdom

ISBN: (纸本)9798350364637

In the data analytics based IoT era, reliable sensor data is essential for maintaining the integrity and effectiveness of IoT applications. The reliability of sensor data can be compromised due to faults that that occur in the sensors and this faulty sensor signals can lead to performance degradation in IoT enabled systems. This study investigates a transfer learning method augmented by a domain adaptation technique for sensor fault classification. The domain adaptation technique allows the classifier model to accurately identify two types of sensor faults, drift and bias fault, in a target sensor node with an unlabeled dataset. We trained an ANN classifier using a semi-supervised approach, leveraging labeled samples from the source sensor node alongside unlabeled data from the target sensor. In the current work, both the source and target sensors are of the same type but are located in different locations. Results from two experiments demonstrate that our approach achieves approximately 97% accuracy when the target sensor is indoor and the source sensor is outdoor. When both sensors are located outdoors, the accuracy exceeds 99%. Other classification metrics also remain consistent. This approach not only maximizes the use of available data but also offers a robust solution for scenarios where obtaining labeled data is difficult or missing. © 2024 ieee.

关键词： Data integrity

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Floating Multiplier based Matrix Multiplication using PPI-MO Technique 7

Floating Multiplier based Matrix Multiplication using PPI-MO...

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7th international conference on Intelligent computing and Control systems, ICICCS 2023

作者： Darshan, Asim Raghuwanshi, Ashish IES College of Technology Electronics and Communication Engineering Department Madhya Pradesh Bhopal India

ISBN: (纸本)9798350397253

DSP systems that are resource efficient, high throughput, and low power are in high demand right now due to the rapid growth of wireless communication, multimedia applications, robotics, and graphics. In almost all DSP systems, from audio/video signal processing to wireless sensor networks, the fundamental processing element that is utilized the most frequently is Floating Point (FP) Matrix Multiplication (MM). The hardware implementation of FP-MM necessitates a large number of arithmetic operations, which have an impact on speed but also take up more space and power. In order to cut down on area, DSP systems use parallel processing and pipelining. MM is the portion activity utilized in many change, picture and discrete sign handling application. New methods and algorithms for MM on configurable devices are developed by us. A proposed three MM design is present in this study. To accommodate various application requirements, these designs reduced input/output data format, throughput rate, and hardware complexity. The PPI-MO based MM is design Xilinx software and simulated number of slice, look up table and delay. © 2023 ieee.

关键词： Wireless sensor networks

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SafetyNet: A Decentralized Police Complaint Management System for Bangladesh Using Blockchain Technology

SafetyNet: A Decentralized Police Complaint Management Syste...

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2024 international conference on Advances in computing, Communication, Electrical, and Smart systems, iCACCESS 2024

作者： Tanjim, Shah M.D. Chowdhury, Rahat Ahmed Amin, Ruhul Ahmed, Tanjil Chowdhury, Shovon Das Lysuzzaman, Md Sylhet Engineering College Computer Science & Engineering Sylhet Bangladesh

ISBN: (纸本)9798350350289

Efficient crime reporting and management is imperative for law enforcement agencies, yet conventional systems pose challenges with data integrity and accessibility. Traditional reporting processes further contribute to delays, errors, and inefficiencies in the overall crime reporting workflow. As a result of these complexities, numerous victims and witnesses are reluctant to seek assistance from legal mechanisms. This study addresses these issues by introducing SafetyNet, a decentralized application (DApp) built on Hyperledger Fabric technology. The prevailing risks of data tampering and unauthorized access are mitigated through Hyperledger Fabric's Private Data Collection, ensuring secure and restricted information storage. SafetyNet is a multifaceted solution comprising user reporting, police, and judge components. Users can seamlessly report crimes, while police and judges access and manage complaints securely within the system. This decentralized approach revolutionizes traditional complaint management, fostering transparency and accountability in law enforcement processes. Hyperledger Fabric emerges as the optimal choice for SafetyNet due to its scalability, permission-based access controls, and confidential transaction processing. This study aims to assess SafetyNet's impact on public trust, compare its effectiveness with traditional systems, and provide valuable insights into blockchain-based complaint management best practices. © 2024 ieee.

关键词： distributed ledger

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Poster: Quadratic-Time Algorithms for Optimal Min-Max Barrier Coverage with Mobile sensors on the Plane 41

Poster: Quadratic-Time Algorithms for Optimal Min-Max Barrie...

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41st ieee international conference on distributed computing systems (ICDCS)

作者： Yao, Pei Guo, Longkun Yu, Jiguo Fuzhou Univ Ctr Discrete Math Fuzhou Peoples R China Qilu Univ Technol Sch Comp Sci & Tech Jinan Peoples R China

ISBN: (纸本)9781665445139

Emerging applications impose the min-max line barrier coverage (LBC) problem that aims to minimize the maximum movement of the sensors for the sake of balancing energy consumption. In the paper, we devise an algorithm for LBC that finds an optimal solution within a runtime O (n(2)), improving the previous state-of-art runtime O (n(2) log n) due to [7]. The key idea to accelerating the computation of the optimum solutions is to use approximation solutions that are obtained by our devised approximation algorithm. Numerical experiments demonstrate our algorithms outperform all the other baselines including the previous state-of-art algorithm.

关键词： Fast algorithm barrier coverage optimal solution mobile sensor approximation algorithm

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