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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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6th international conference on Innovative computing and Communication, ICICC 2023

6th International Conference on Innovative Computing and Com...

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6th international conference on Innovative computing and Communication, ICICC 2023

ISBN: (纸本)9789819940707

The proceedings contain 128 papers. The special focus in this conference is on Innovative computing and Communication. The topics include: Wearable sensor Based Cloud Data Analytics Using Federated Learning Integrated with Classification by Deep Learning Technique;comparison of Decision Tree and Random Forest for Default Risk Prediction;trusted Cloud Service Framework for Cloud computing Security;HITR-ECG: Human Identification and Classification Simulation System Using Multichannel ECG Signals: Biometric systems Era;brain Disorder Classification Using Deep Belief Networks;Diabetic Retinopathy Detection Using Deep CNN Architecture and Medical Prescription;an Innovative Software Engineering Approach to Machine Learning for Increasing the Effectiveness of Health systems;region of Interest and Feature-based Analysis to Detect Breast Cancer from a Mammogram Image;vehicular Ad Hoc Network: A Review;Securing the Networks Against DDoS Attacks Using Blockchain Technology;the Proposed Deep Learning Combined with Knowledge Graphs for Fake News Detections on Social Networks;algorithm-Driven Predictive Analysis of Blue-Chip Stocks in the Murky Indian Environment;survey on Crime Analysis, Forecasting, and Prediction Using Machine Learning;soft computing and Data Mining Techniques for Dengue Detection: A Review;Extended HD-MAABE Scheme Supporting Delegation and Revocation for Cloud-based Organizational Data Sharing;detection of Open Metal Sites in Metal–Organic Frameworks Using Machine Learning;PCA-Based Feature Selection and Hybrid Classification Model for Speech Emotion Recognition;ANFIS and Kernel Extreme Learning Machine to the Assessment and Identification of Seismic b-value as Precursor;payroll Management Using Blockchain;centric Management of Resources in Modern distributed computing;enhancing Security of IoT Data Transmission in Social Network Applications.

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A Federated Learning-Based Hierarchical Intrusion Detection System for Underwater IoT Wireless sensor Networks 4

A Federated Learning-Based Hierarchical Intrusion Detection ...

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4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Samson, S.Arivumani Nagarajan, M. Bharath Institute of Higher Education and Research Dept. of Ece Chennai India

ISBN: (纸本)9798331529635

Underwater Internet of Things Wireless sensor Networks (UIoTWSN) are an important component in the process of marine monitoring and gathering of environmental data. Due to the dynamic nature of underwater environments and limits of typical intrusion detection system (IDS), these networks are extremely susceptible to incursions. Both of these factors make them extremely vulnerable. The approaches that are currently in use include problem areas such as computational inefficiencies, high false positive rest and lack of adaptability to changing attack patterns. A Federated Learning based Hierarchical IDS for utility IOT is suggested to overcome these issues. By utilizing federated learning with multi-tiered detection framework, this system is able to protect the privacy of data, reduce the amount of computing overhead and effectively respond to emerging threats in real time. The hybrid method employs Convolutional Neural Network (CNN) for the extraction of spatial features and Bi-LSTM networks for the analysis of temporal features. Moreover, reinforcement learning is utilized to dynamically modify network conditions and attack patterns. To maximize the utilization of resource in the underwater sea, an optimization method is utilized. This method is energy constrained, lightweight and energy efficient. In addition, the stability of the method is further enhanced by capability of blockchain technology to allow secure collaboration between nodes. The findings of the experiment shows that the proposed FL-HIDS is a reliable option for ensuring the safety of UIoTWSN since it achieves higher level of accuracy, increased energy efficiency and less false positives in compared to methods that are currently in development. This paper presents an innovative intrusion detection system which is suitable for issues in Underwater IoT © 2024 ieee.

关键词： Federated learning

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DL-Based Secure Wearable Scheme for Remote Patient Data Monitoring in Healthcare 4.0 4

DL-Based Secure Wearable Scheme for Remote Patient Data Moni...

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4th ieee international conference on computing, Communication, and Intelligent systems, ICCCIS 2023

作者： Ramoliya, Fenil Darji, Krisha Gupta, Rajesh Kakkar, Riya Tanwar, Sudeep Kumari, Aparna Inst. of Technology Nirma University Dept. of Computer Sci. and Engg. Ahmedabad382481 India

ISBN: (纸本)9798350306118

The paper articulates an exploration into the integration of wearable devices for remote patient data monitoring, which marks a transformative shift in healthcare practices. This transition is underscored by user-centric interfaces and applications, enabling convenient remote monitoring. However, the escalating concern of patient data vulnerability to network breaches presents a substantial impediment. In response, we introduce the proposed scheme that harnesses Machine Learning (ML) and Deep Learning (DL) techniques. The main objective of the proposed scheme is to meet the exacting requirements of healthcare systems, aiming to fortify data integrity and confidentiality. Within this context, the proposed scheme unveils a sophisticated DL-driven detection model, adeptly tailored for discerning and countering data manipulation endeavors through a nuanced multi-label classification paradigm. Notably, the emphasis lies on safeguarding patient data privacy and security, which is paramount in today's information-rich landscape. The narrative seamlessly interweaves elements of wearable technology, sensor networks, advanced DL capabilities, and robust security measures, resulting in an innovative scheme. Finally, the proposed scheme is evaluated against various metrics such as accuracy and loss curve and F1, recall, and precision comparison. © 2023 ieee.

关键词： sensor networks

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Leveraging Cross-Technology Broadcast Communication to build Gateway-Free Smart Homes 17

Leveraging Cross-Technology Broadcast Communication to build...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee DCOSS)

作者： Brunner, Hannah Hofmann, Rainer Schuss, Markus Link, Jakob Hollick, Matthias Boano, Carlo Alberto Roemer, Kay Graz Univ Technol Inst Tech Informat Graz Austria Tech Univ Darmstadt Secure Mobile Networking Lab Darmstadt Germany

ISBN: (纸本)9781665439299

Despite the growing interest in cross-technology communication, its application to real-world systems is still limited, as existing schemes are mostly unidirectional and technology-specific. The lack of generic solutions as well as the complexity of their integration reduces the applicability in a broader scope. In this paper, we propose a solution to augment Wi-Fi, BLE, and ZigBee devices with the ability to transmit and receive cross-technology broadcast frames alongside their existing functionality. After experimentally evaluating the performance of our solution on a variety of hardware platforms, we leverage it to build a gateway-free smart home, where a smartphone can simultaneously control heterogeneous smart objects. The smart objects, which include an off-the-shelf ZigBee light bulb and a BLE-enabled door lock from different vendors, perform cross-technology communication while retaining their original functionality and can maintain duty-cycled operations.

关键词： Cross-technology communication IoT Nexmon Smart door lock Smart light bulb BLE ieee 802.15.4 Wi-Fi ZigBee X-Burst Broadcom bcm43 Raspberry Pi Nexus 6P

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COMPARATIVE STUDY OF ULTRA-LOW-POWER MICROCONTROLLERS IN ENERGY-AUTONOMOUS ENVIRONMENTAL WIRELESS sensor NODES (WSN) 22

COMPARATIVE STUDY OF ULTRA-LOW-POWER MICROCONTROLLERS IN ENE...

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22nd international conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)

作者： Shinde, Uttunga G. Luhmann, Timm Comella, Laura M. Woias, Peter Univ Freiburg Dept Microsyst Engn IMTEK Freiburg Germany

ISBN: (纸本)9798350344219

Climate change poses great danger for forest ecosystems by impacting the carbon cycle at a global and regional scale [1]. By monitoring its effects using distributed environmental sensor systems, a deeper understanding of cause-effect chains can be obtained, as a basis for the development of damage control strategies. For reliable and maintenance free operation, these sensor nodes should be ultra-low-power systems, supplied either by long-lasting batteries or by energy harvesting. Here, one deciding factor for energy optimization is the microcontroller choice which depends on the complexity of the required application, the required computational power and the resulting energy consumption. This choice is difficult as there is often a tradeoff between processing capabilities and energy consumption. In this contribution an energy analysis for different microcontroller platforms with architectural differences, namely the MSP430FR5994 and the ARM Cortex M4F-based Ambiq Apollo 3 is provided. Their processing capabilities are exploited while performing data acquisition and complex mathematical computations. The resulting energy consumption analysis shows that the MSP430FR5994 is suitable for lower complexity wireless sensor nodes (WSNs) whereas the Apollo 3 is better suited for high-end computational WSNs. Thus, this contribution serves as a guide to identify the most suitable microcontroller for a certain environmental WSN.

关键词： Energy-autonomous smart environmental sensing ultra-low-power microcontroller wireless sensor node

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NETREACT: distributed Event Detection in sensor Data Streams with Disaggregated Packet Processing Pipelines 8

NETREACT: Distributed Event Detection in Sensor Data Streams...

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8th ieee international conference on Network Softwarization (NetSoft) - Network Softwarization Coming of Age - New Challenges and Opportunities

作者： Gyorgyi, Csaba Kecskemeti, Karoly Mallouhi, Hiba Voros, Peter Laki, Sandor Eotvos Lorand Univ Budapest Hungary

ISBN: (纸本)9781665406949

A new phenomenon called in-network computing has recently emerged with the aim of offloading calculations beyond the traditional task of packet forwarding to network switches. One of the most studied in-network computing applications is processing of sensor data streams. Existing works such as FastReact focus on solving this problem using flexible SmartNICs. In this paper, we propose NETREACT: an improved ASIC-oriented design for distributed event detection in sensor data streams to achieve a disaggregated processing pipeline. In contrast to existing approaches, NETREACT distributes the event detection task among a set of switches while leveraging the capabilities of the Intel Tofino platform in terms of boosting throughput and reducing latency. The proposed event-rule disaggregation method has the advantage of overcoming the hardware resource constraints and improving the overall network performance.

关键词： P4 in-network computing pipeline disaggregation event detection sensor data processing

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A Comprehensive Analysis on Time Synchronization Protocols in Wireless sensor Networks 4

A Comprehensive Analysis on Time Synchronization Protocols i...

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4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Senthilkumar, R. Venkateshkumar, S. Sachithanantham, N.C. Rajkumar, D. Revathi, M. Suganthapriya, S. Dr. SNSRajalakshmi College of Arts & Science Department of Computer Science Coimbatore641049 India Dr. SNSRajalakshmi College of Arts & Science Department of Computer Science with Cyber Security Coimbatore641049 India Dr. SNSRajalakshmi College of Arts & Science Department of Information Technology Coimbatore641049 India Coimbatore641049 India

ISBN: (纸本)9798331529635

While fundamental communication in wireless networks relies on time synchronization, it also enables motion, location, and proximity sensing. Four features-time spent sending and receiving, accessing and distributing-define the synchronization challenge. Three modern synchronization strategies are presented: sensor networks' broadcast and temporal synchronization protocols and the Flooding Synchronize Time Protocol. In addition, industrial examples and security concerns are discussed. This study of 32 survey paper articles investigates numerous existing techniques, protocols, and crucial temporal aspects for achieving accurate coordination in a sensor network. An all-node method, a diffusion-based strategy, and group sync techniques are application-specific solutions that strive to provide network-wide synchronization. Traditional time synchronization protocols like RBS and TPSN are also available. A new kind of scalable, topologically independent, fast-converging, energy-efficient, less-latent, and application-dependent system is needed, and this study will examine the most popular current time synchronization methods to bring attention to this requirement. An approach to secure time synchronization under dangerous conditions. This survey's various examined criteria provide a solid foundation for evaluating novel and present synchronization strategies. © 2024 ieee.

关键词： Proximity sensors

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Ensuring the Integrity of the Police Complaint Files Using Blockchain Technology 1

Ensuring the Integrity of the Police Complaint Files Using B...

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1st international conference on Technological Innovations and Advance computing, TIACOMP 2024

作者： Hasan, M. M. Rakibul Hossain, Gazi Md. Shakil Moure, Sadia Hossain Sardar, Md Shepon International University of Business Agriculture and Technology Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350392111

Information about every criminal case is kept in a very secret police case database system. During the course of an investigation and case resolution, criminal information is handled differently in each case. However, the traditional police case information management system is not extremely secure. Although every police station has a system for recording criminal history, the data transfer is still not transparent. Many police stations still run their operations with manual systems. Any unethical action might cause unfairness for the victims. As a result, we are offering a secure platform that combines the openness as well as adaptability of smart contract-based systems with the accuracy and secrecy of current police case schemes. We have created a smart contract on the blockchain's Go Ethereum platform using the Proof-of-Authority (PoA) consensus mechanism to verify the user and offer transparency for the security of criminal records and evidence. Our proposed solution runs on a distributed network for the best possible data security that adheres to the Web 3.0 model. © 2024 ieee.

关键词： Smart contract

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Jellyfish Search Algorithm based Optimal Routing Protocol for Energy Efficient Data Aggregation in Wireless sensor Networks

Jellyfish Search Algorithm based Optimal Routing Protocol fo...

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2023 international conference on Intelligent systems, Advanced computing and Communication, ISACC 2023

作者： Sekar, K. Suganya Devi, K. Suganthi, J. Dheepa, T. National Institute of Technology Silchar Department of Computer Science and Engineering Silchar India Dr A P J Abdul Kalam School of Engineering Garden City University Bengaluru India Kongunadu College of Engineering and Technology Department of Computer Science and Engineering Tiruchirappalli India

ISBN: (纸本)9798350399387

Developing energy-efficient data collection protocols is a big challenge for wireless sensor networks (WSN) since sensor nodes are battery-powered and have severe energy limitations. Clustering methods minimize the power consumption of every sensor. Hot spots, however, are an issue in areas near the sink. Modern developments indicate the substantial development of nature-inspired optimization-based routing strategies used for data collection in WSNs to minimize energy consumption and extend lifespan. This paper presents a novel Jellyfish Search Algorithm (JSA) based on an optimal routing protocol for data aggregation in WSN. Firstly, the proposed method optimizes the size of the cluster, and secondly, a routing protocol is introduced for efficient data transmission. The simulation results show that the proposed method achieves better energy-efficient data collection and increases the lifespan of sensors. © 2023 ieee.

关键词： Routing protocols

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Maximization of Network Lifetime by Energy Balancing Algorithm for Wireless sensor Networks 4

Maximization of Network Lifetime by Energy Balancing Algorit...

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

作者： Sharma, Rachna Deshpande, Bhargavi School of Arts & Humanities Iimt University Uttar Pradesh Meerut India Isdi - School of Design & Innovation Atlas Skill Tech University Maharashtra Mumbai India

ISBN: (纸本)9798350333558

The Maximization of network lifetime by energy balancing algorithm is a research topic that focuses on the development of distributed algorithms for enhancing the lifetime of wireless sensor networks (WSNs). With the recent development of wireless technologies, WSNs are becoming increasingly popular for a variety of sensing and environmental monitoring applications. WSNs are typically made up of a large number of sensor nodes, each equipped with limited energy resources such as batteries. In order to maintain long-term operation of the WSN, it is necessary to balance the energy usage of the nodes in order to prolong their network lifetime. Energy balancing algorithms attempt to achieve this by balancing the energy usage among the nodes in the network. This paper discusses the various techniques used for energy balancing and the current state of research in this area. The paper presents several energy balancing strategies such as power-aware routing, energy harvesting, and energy-efficient communication protocols. The paper also discusses recent approaches to optimize energy balancing strategies, such as multiple objective optimization, distributed optimization and game theory. Finally, the paper concludes by presenting some future directions for research in this area. © 2023 ieee.

关键词： Energy efficiency

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