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检索条件"任意字段=Conference on Next-Generation Communication and Sensor Networks 2007"

共 1567 条记录，以下是141-150 订阅

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Energy aware firefly based sink mobility data routing in wireless sensor networks

Energy aware firefly based sink mobility data routing in wir...

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International conference on next generation Intelligent Systems (ICNGIS)

作者： Kavita Jaiswal Veena Anand Dept. of Computer Science and Engineering National Institute of Technology Raipur Chhattisgarh India

In a sink mobility-based Wireless sensor Network, the sink node follows a path through the network region, gathering data from neighbouring sensor nodes. Sink mobility reduces the distance between the average source node and the sink, hence conserving energy during network transmission. The Firefly Algorithm (FA) is used to offer a WSN sink mobility technique in this paper. An appropriate sink position saves the most node energy in data transmission. To select the ideal sink site for a cluster, the FA generates a chromosomal population. A network energy consumption model that implements the FA process's fitness evaluation operator is also proposed. The FA model creates a set of suitable sink sites on the trajectory for each cluster. FA-based sink mobility extends network lifetime more than other protocols, according to the research.

关键词： Wireless communication Wireless sensor networks Protocols Sociology Throughput Routing Delays

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Modern Encryption Techniques for Wireless Body Area networks in E-healthcare: A survey

Modern Encryption Techniques for Wireless Body Area Networks...

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Ambient Intelligence in Health Care (ICAIHC), International conference on

作者： Pooja Singh Mou Dasgupta Department of Computer Applications National Institute of Technology Raipur India

ISBN: (数字)9798331530259

ISBN: (纸本)9798331530266

Healthcare has grown increasingly dependent on Wireless Body Area networks (WBANs) for continuous monitoring of patient health metrics and real-time data transmission. Though wearable technology has limited resources and also medical data is sensitive, the integration of WBANs into healthcare systems raises serious security challenges, which require strong encryption methods to safeguard data integrity and restrict unauthorized access to sensitive medical health data. This survey presents a broad overview of modern encryption techniques used in WBANs, particularly as they pertain to e-healthcare applications. To provide secure data access in e-healthcare applications, we explore both conventional and advanced cryptographic techniques, such as lightweight encryption algorithms, identity-based encryption (IBE), attribute-based encryption (ABE), and hybrid encryption techniques. The paper also highlights ECC which works well in resource-constraint environments, making it suitable for WBAN applications. By examining modern issues like computational overhead, latency, and energy efficiency, the paper highlights the significance of a balance between security and performance when implementing encryption for WBANs. This survey aims to give a comprehensive assessment of the current state of encryption techniques used in e-healthcare, as well as suggestions for future research directions that could improve the security of next-generation healthcare systems. The ultimate goal is to protect patient data without sacrificing the effectiveness of medical services.

关键词： Surveys Wireless sensor networks Medical services Body area networks Elliptic curve cryptography Real-time systems Encryption Security communication system security Monitoring

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DLIoMT: Deep Learning Approaches for IoMT-Overview, challenges and the future

DLIoMT: Deep Learning Approaches for IoMT-Overview, challeng...

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International conference on Computer, Electrical & communication Engineering (ICCECE)

作者： V Harshni Satyendr Singh R Indhumathi Neelam Sanjeev Kumar Subrata Chowdhury Sudhansu Shekhar Patra Department of BME SRM Institute of Science and Technology Ramapuram campus Chennai India Computer Science & Engg Department BML Munjal University Gurugram India Department of Computer Science and Engineering (E.Tech) SRM Institute of Science and Technology Vadapalani Campus Chennai India Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management Studies Chittoor Andra Pradesh India School of Compter Applications Kalinga Institute of Industrial Technology (KIIT) Deemed to be University Bhubaneswar Odisha India

ISBN: (数字)9798331513894

ISBN: (纸本)9798331513900

An artificial intelligence (AI) system works by combining a computer program and algorithms to make a device more efficient and intelligent for tasks that are typically performed by humans. Deep learning, machine learning, conventional neural networks, recognition, and fuzzy logic are a few of the subsets of AI with unique capabilities and functions that can enhance modern medical science. Such innovations simplify human interference in clinical diagnostic procedures, decision making, and medical imaging. To improve human health, connected biomedical network devices and software applications are interconnected to form the Internet of Medical Things (IoMT), the next generation of bioanalytical tools. This review paper provides in-depth analysis of the IoMT encasing its definition, technologies, applications, challenges, and future prospects.

关键词： Deep learning Technological innovation Reviews Smart healthcare Internet of Medical Things Software sensor systems sensors Security Medical diagnostic imaging

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An Energy Efficient Routing Protocol based on SMO Optimization in WSN 6

An Energy Efficient Routing Protocol based on SMO Optimizati...

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6th IEEE International conference on communication and Electronics Systems, ICCES 2021

作者： Gokula Krishnan, V. Venkateswara Rao, Pinagadi Divya, V. Cvr College of Engineering Department of Csit Telangana Ibrahimpatnam India Ace Engineering College Department of Cse Telangana Ghatkesar India School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India

ISBN: (纸本)9781665435871

A WSN is a network of sensor nodes that track and record the status of the physical atmosphere and organize the gathered data in a central location. WSNs' technology is employed as the basic infrastructure of the next generation networks (NGN) including Internet of things (IoT), sensor Control networks (SCNs), Ubiquitous sensor networks (USNs), Machine-Oriented communications (MOC) and so on. To control the network energy dissipated and to minimize traffic and overhead during data transmission phases, an energy-efficient routing protocol is necessary to fulfill the sensing, communication and processing tasks of WSN. Clustering is used strategy for balancing energy consumption across all sensor nodes (SN) in network. As a clustering-based routing protocol (RP) for WSN, this paper presents an ensemble bio-inspired procedure based on the Firefly and Spider Monkey Optimization (SMO) algorithms. By recycling frequent information from the source node into the sink, the proposed protocol avoids superfluous routing messages, which may result in significant energy waste. This routing protocol can select the best routing path. To pick the appropriate cluster heads at each round, the proposed algorithm used various parameters such as node residual energy, inter-cluster distances to the sink, and cluster overlaps. In the clustering process, the parameters of the projected solution can be adaptively optimized to attain the finest performance of the network necessities. Simulation results have showed average lifetime enhancements of up to 30.91%, 32.12%, 12.4%, 13.50% compared with bee colony, PSO, SFLA and GWO respectively, in different network scenarios. © 2021 IEEE.

关键词： sensor nodes

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The Emerging Requirements for a Modern SDDS

The Emerging Requirements for a Modern SDDS

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Integrated communications, Navigation and Surveillance conference, ICNS

作者： Dave Whitman Sunhillo Corporation New Jersey USA

ISBN: (数字)9798331534738

ISBN: (纸本)9798331534745

The emergence of next generation technologies in Air Traffic Control (ATC) and the requirement to interface new and existing legacy sensor systems has defined the need for a Surveillance Data Distribution System (SDDS) for the last 20 years. Recent experience in deploying SDDS systems has identified additional requirements over those initially discussed in my ICNS paper from 2009 “The Need and Capability of a Surveillance Data Distribution System”. The landscape has changed in the last two decades with modern surveillance sources, new communication protocols, increasing data speeds, conversion and monitoring requirements. The existing SDDS must evolve to accommodate the latest communication technologies and surveillance sources. The distribution of surveillance data has several requirements in addition to just the transfer of data. In addition, it must understand the different protocols and understand the information that it is transmitting. This allows the extraction of critical information such as altitude, range and aircraft identification to allow value added processing and conversion and filtering of the data. Surveillance data is considered mission critical data essential for the tracking and operation of ATC systems. It has strict real-time requirements regarding accuracy and latency and must be highly available (redundant). It also must be capable of delivering surveillance data to a variety of diverse users over a wide geographic area. In today's world, surveillance data is sent over IP and TDM data lines to a wide variety of users ranging from the ATC, Military, Border Security, and commercial users. This can require the need to convert or modify the data to a format that the receiving user can understand. Higher level functions such as multi-sensor fusers are required to remove duplicate messages from different radar sources as well as the need for virtual radars to convert from latitude/longitude (lat/long) sources such as ADS-B to sweep radars. A new re

关键词： Protocols Surveillance Radar Receivers Traffic control Time division multiplexing sensor systems Real-time systems Security IP networks

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4th International conference on communications and Cyber-Physical Engineering, ICCCE 2021

4th International Conference on Communications and Cyber-Phy...

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4th International conference on communications and Cyber-Physical Engineering, ICCCE 2021

ISBN: (纸本)9789811679841

The proceedings contain 131 papers. The special focus in this conference is on communications and Cyber-Physical Engineering. The topics include: Machine Learning Based Solutions for Human Resource Systems Management;moisture sensor Using Microstrip Patch Antenna;blockchain Technology for Assisting the Analysis of Viruses and Other Pathogens;exploratory Analysis of Human Mood Swings;effective Classification of Autism Spectrum Disorder Using Adaptive Support Vector Machine;particle Swarm Optimization Based Multiobjective Rank Aggregation;intelligent Beyond 5G Systems: Upcoming Wireless communication Systems;WA-SCV Analysis for Scope Creep Management in a Software Project Requirements;Blockchain Based Electronic Healthcare Record (EHR);end-to-End Supporting System for IoT Applications: Survey;spontaneous Detection of Potholes and Humps;text Processing for Marathi Text-To-Speech Synthesis;device to Device communication for next generation Cellular Network: A Survey;Recent Trends and Techniques of CBIR to Enhance Retrieval Performance;automatic Emotion Detection Using Electroencephalogram;wearable Electrocardiogram Feature Extraction for Real Time Monitoring Applications;EEG Based Computationally Optimized Solution for Non-epileptic Seizure Detection;performance Evaluation of Cellular networks Base Station Using Water Filling Algorithm;Classification and Performance Evaluation of Phishing Email or URL Using Random Forest;Novel Chest X-Ray 4-CH-CNN COVID-19 Diagnosis;machine Vision Based Fruit Classification and Grading—A Review;Comprehensive Literature Survey for mm-Wave Massive MIMO Using Machine Learning for 6G;maize Leaf Healthy and Unhealthy Classification Using Image Processing Technique and Machine Learning Classifiers;graphology Based Human Behavior and Personality Identification Using Artificial Neural networks;a Survey on Soft Biometric Techniques;a Survey on Liver Cancer Detection: Based on Deep Learning Technology;preface.

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Cybersecurity Challenges in Electric Vehicles: An initial literature review and research agenda

Cybersecurity Challenges in Electric Vehicles: An initial li...

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Annual IEEE Systems conference

作者： Giordano Reyes Euceda Aditya Akundi Sergio Luna Department of Informatics and Engineering Systems The University of Texas at Rio Grande Valley Edinburg TX USA Industrial Manufacturing and Systems Engineering Department The University of Texas at El Paso El Paso TX USA

The automobile industry is experiencing a drastic transformation due to the implementation of digital strategies such as the Internet of Things (IoT), wireless and satellite sensor networks, data-driven solutions, and others across a vehicle life cycle. The implementation of cyber- physical systems (CPS) such as electric vehicles (EVs) into the transportation networks brings multiple positive impacts on society, the environment, and a country’s economy. As technology evolves and increases its incorporation into humans, cyber-physical systems become more complex—and electric vehicles are no exception. The ‘next-generation’ fleet of vehicles is bringing new features such as autonomous driving, charging methods, and regenerative braking mechanisms. Although EVs positively impact society, they also introduce a series of risks and challenges. Modern vehicles will be connected to the internet permanently, which means they will be prone to cyberattacks that can potentially target either the system itself or the consumer’s personal data, which can result in catastrophic events. This paper presents a review of recent literature on cyber challenges, risks, and threats modern electric vehicles face and proposes a research framework to direct academics and practitioners to address gaps in the implementation of EVs into existing and future transportation networks.

关键词： Wireless communication Wireless sensor networks Transportation Standardization Cyber-physical systems Electric vehicles Internet of Things

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Location based Context Awareness with Multipoint Transmission by ELAML Algorithm

Location based Context Awareness with Multipoint Transmissio...

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Artificial Intelligence and Smart Systems (ICAIS), International conference on

作者： S. Ram Prasath K. Gokulakrishnan M. Subramanian N. Mohan Department of Computer Science and Engineering SCAD College of Engineering and Technology Tirunelveli India Department of Electronics and Communication Engineering Anna University Regional Campus Tirunelveli India

Wireless network and communication engineers have a query that when, where and how mmWave will be used in volte+ network? The future generation network depends on multiple speed Radio Access Technology (RAT), but it makes use of different access in downlink with multipoint transmission in the presence of multilink distributed wireless channel information. Context awareness means that systems can sense and react their environment based on location which is capable of identifying nearest network locator. The location of particular system in a distributed network can be determined by Navigational Network Locator (NNL). next, Vehicular Systems demand high data transfer links of mmWave communication. By the Convolution Neural networks, it passes the result to the upcoming vehicular signal and multiple links shares the data to all mobile networks. The Enhanced Location Awareness Machine Learning (ELAML) combined with Mobile Edge Computing (MEC) technologies to enable multiple links ultra-high speed data downloads. The real-world implementations of Location based machine learning network architecture using traffic patterns are identified. The main aim of this research paper is about implementing multiple ultra-high data rate with volte+ mmWave vehicular network.

关键词： Location awareness Base stations Wireless sensor networks Machine learning algorithms Wireless networks Machine learning Context awareness

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Development of Security Enhanced Wireless communication Medium to Perform Successful Data Transmissions over 5G Enabled networks

Development of Security Enhanced Wireless Communication Medi...

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Cognitive, Green and Ubiquitous Computing (IC-CGU), International conference on

作者： V Bhuvaneswari D.M. Kalai Selvi S Sangeetha T. Sripriya V. Arulkumar S. Selvi Department of ECE SRM Institute of Science and Technology Vadapalani campus Chennai Tamilnadu India Department of CSE R.MD Engineering college Chennai Tamilnadu India Department of Science & Humanities Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Department of ECE Jeppiaar Institute of Technology Chennai Tamilnadu India Department of Information Technology Sri Sivasubramaniya Nadar College of Engineering Chennai Tamilnadu India

ISBN: (数字)9798350361780

ISBN: (纸本)9798350361797

In order to accommodate the expected billions of devices, increased data rate, and ubiquitous connectivity of the future 5G mobile networks, a wide range of technologies will need to be implemented. Especially since 5G networks will be tied to core and enabling technologies, sensitive data in the next generation of wireless systems will be sent across all levels. As several recent cases have shown, the threat posed by an infected network of wireless devices can have far-reaching consequences for privacy and security of a whole ecosystem's worth of communications. For this reason, detecting or preventing sabotage has become a global concern as security threats have grown in complexity and intensity in recent years. With an eye on both security and privacy, this paper delves deeply into topics like network system security, physical-layer security, and 5G privacy issues; these are the technologies at the heart of the 5G security paradigm. The article also covers topics related to 5G network security administration and monitoring. This article also gives a brief review of 5G standardization safety forces and assesses the security measures as well as standards of core 5G technology using a variety of standardization approaches. At the same time, 5G networks offer security improvement opportunities that should be considered. Here, 5G architectural flexibility, programmability and complexity can be harnessed to improve resilience and reliability.

关键词： Privacy Wireless sensor networks 5G mobile communication Wireless networks Ubiquitous computing Complexity theory Security

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A Light-Weight Delay Tolerant Networking Framework for Resource-Constrained Environments 27

A Light-Weight Delay Tolerant Networking Framework for Resou...

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27th National conference on communications (NCC)

作者： Salas, Ajay Babu, Sarath Manoj, B. S. Indian Inst Space Sci & Technol Thiruvananthapuram 695547 Kerala India

ISBN: (纸本)9781665441773

next generation communication infrastructures are characterized by customized network environments deployed for meeting the application/user specific needs as well as for achieving the required Quality-of-Service (QoS). The surge of mobile devices and their applications form a major bottleneck in realizing the QoS due to the resource constraints in mobile devices and the uncertain mobility pattern of users. Delay/Disruption Tolerant Networking (DTN) approaches are employed to cope with the issues in dynamic wireless environments such as intermittent connectivity, high error rate and packet loss, and network heterogeneity. However, the overhead required in terms of protocols, memory, and computational power in traditional DTN approaches may not be suitable for energy-constrained mobile devices. Therefore, we propose a Light-Weight DTN (LWDTN) framework for resource-constrained delay/disruption-prone wireless environments. We follow the traditional custody-transfer approach in designing the LWDTN framework with three types of bundles involving minimal header fields. The experimental results from a DTN testbed show the efficacy of LWDTN in delivering around 80% packets within the feasible time.

关键词： Delay/disruption tolerant networks wireless sensor networks resource-constrained networks Internet of Things

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