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检索条件"任意字段=IEEE International Conference on Mobile Adhoc and Sensor Systems"

共 10841 条记录，以下是1-10 订阅

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2007 ieee international conference on mobile adhoc and sensor systems, Mass

2007 IEEE International Conference on Mobile Adhoc and Senso...

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2007 ieee Internatonal conference on mobile adhoc and sensor systems, MASS

ISBN: (纸本)1424414555

The proceedings contain 173 papers. The topics discussed include: efficient and adjustable recipient anonymity in mobile ad hoc networks;fault-tolerant topology control for heterogeneous wireless sensor networks;routing overhead as a function of node mobility: modeling framework and implications on proactive routing;Performance evaluation of a hybrid testbed for wireless mesh networks;impact of energy models on energy efficient sensor network routing;a reliability-oriented transmission service in wireless sensor networks;network connectivity under probabilistic communication models in wireless sensor networks;routing in mobile ad-hoc networks: the virtual distance vector protocol;open-ZB: an open-source implementation of the ieee 802.15.4/ZigBee protocol stack on TinyOS;and optimizing the Internet gateway deployment in a wireless mesh network.

关键词： Mesh generation

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2009 ieee 6th international conference on mobile adhoc and sensor systems, MASS '09

2009 IEEE 6th International Conference on Mobile Adhoc and S...

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2009 ieee 6th international conference on mobile adhoc and sensor systems, MASS '09

ISBN: (纸本)9781424451135

The proceedings contain 140 papers. The topics discussed include: contention-aware data caching in wireless multihop ad hoc networks;hierarchical distributed data classification in wireless sensor networks;cooperative download in urban vehicular networks;on accuracy of region-based localization algorithms for wireless sensor networks;ratio-based zero-profiling indoor localization;surviving holes and barriers in geographic data reporting for wireless sensor networks;a mobility and congestion resilient data management system for distributed mobile networks;secure autoconfiguration and public-key distribution for mobile ad-hoc networks;ChainFarm: a novel authentication protocol for high-rate any source probabilistic broadcast;multicast capacity of multihop cognitive network;minimum maintenance cost routing in cognitive radio networks;and joint QoS-aware admission control, channel assignment, and power allocation for cognitive radio cellular networks.

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2010 ieee 7th international conference on mobile adhoc and sensor systems, MASS 2010

2010 IEEE 7th International Conference on Mobile Adhoc and S...

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2010 ieee 7th international conference on mobile adhoc and sensor systems, MASS 2010

ISBN: (纸本)9781424474882

The proceedings contain 97 papers. The topics discussed include: OCP: opportunistic carrier prediction for wireless networks;a multi-channel cooperative MIMO MAC protocol for wireless sensor networks;adaptive exploitation of cooperative relay for high performance communications in MIMO ad hoc networks;outage probability of an optimal cooperative MAC protocol in Nakagami-m channels;USD-FH: jamming-resistant wireless communication using frequency hopping with uncoordinated seed disclosure;a decentralized key management scheme via neighborhood prediction in mobile wireless networks;SpartanRPC: secure WSN middleware for cooperating domains;an identity-based authentication and key establishment scheme for multi-operator maintained wireless mesh networks;efficient routing in delay tolerant networks with correlated node mobility;a non-replication multicasting scheme in delay tolerant networks;and GeSoMo - a general social mobility model for delay tolerant networks.

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Empirical Examination of mobile Ad Hoc Routing Protocol on Wireless sensor Network 6

Empirical Examination of Mobile Ad Hoc Routing Protocol on W...

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6th international conference on mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Nancharaiah, B. Krishnamoorthy, R. Kumar, Neeraj Patankar, Abhijit Janardan Ravikumar, K. Tiwari, Mohit Department Of ECE Usha Rama College of Engineering and Technology Telaprolu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai India Department of Electrical Engineering Doon Institute of Engineering and Technology Uttarakhand India Department of Information Technology D Y Patil college of Engineering Akurdi Pune411044 India Department Of CSE RRASE College Of Engineering Chennai India Department of CSE Bharati Vidyapeeth’s College of Engineering Delhi India

ISBN: (纸本)9798331522667

A network is a distributed dynamic multi-hop MANET (mobile ad-hoc network). It's critical to create a successful ad-hoc network routing system in order to address the issue with MANET-based WSN (Wireless sensor Network). In this proposal, various WSN communication routing algorithms are analyzed. There is also a brief description of significant routing and security issues. This research focuses on taxonomies associated with adhoc routing approaches and assesses the merits of suggested routing protocols for setting up sensor nodes and sending sensor signals. © 2025 ieee.

关键词： sensor nodes

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sensor Placement Based on Cellular Communication systems 5

Sensor Placement Based on Cellular Communication Systems

引用

5th ieee international conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Yuan, Shaobo Chen, Jiaxu Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9798331533694

This paper presents a novel approach for optimizing sensor placement within a designated area, leveraging a combination of cellular communication systems and feed-forward neural networks to streamline the selection process for operators. Initially, a modified hill-climbing algorithm, a form of local search, is implemented to generate preliminary data for sensor positioning. However, to prevent the algorithm from converging on local optima, a simulated annealing algorithm is subsequently employed to validate and refine the results. During the construction phase of the cellular communication system, flaws were detected in the evaluation metrics when using Modal Assurance Criterion (MAC) and singular value ratios, which led to the adoption of a feed-forward neural network. This neural network is utilized for both further optimization and a more accurate assessment of the sensor distribution. The study highlights the seamless integration of cellular communication systems with local search methods and underscores the significant improvements in optimization achieved through the use of neural networks. Ultimately, the research successfully develops a method for determining the optimal sensor positions, providing a robust solution for the effective deployment of cellular sensors in complex environments. © 2025 ieee.

关键词： mobile telecommunication systems

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Simulation Verification Method for Image sensor Interface Processing Unit Based on UVM 5

Simulation Verification Method for Image Sensor Interface Pr...

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5th ieee international conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Ma, Wenji Beijing Sunwise Information Technology Ltd. Department of FPGA Verification Organization Beijing China

ISBN: (纸本)9798331533694

Image sensors are widely employed across various industries, including smart mobile devices, autonomous vehicles, and surveillance systems. The Image sensor Interface Processing Unit is typically characterized by a high degree of complexity to support diverse image sensor interfaces. Consequently, the effective and efficient verification of this unit is essential for upholding project quality and adhering to timelines. This article presents a simulation verification methodology for the Image sensor Interface Processing Unit utilizing the Universal Verification Methodology (UVM). It explores the features of different sensor interfaces, the architectural framework, core base classes, runtime mechanisms, and reusable components within the UVM verification platform. The study identifies functional verification points based on the specific characteristics and application contexts of the Image sensor Interface Processing Unit and formulates testing incentives. By analyzing the simulation results, the approach ensures comprehensive coverage of all functional points, achieving a 100% functional coverage rate. The testing platform is systematically designed to provide robust portability while meeting fundamental functional verification requirements, thereby serving as a reference for the development of future module verification environments. © 2025 ieee.

关键词： Reusability

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Enhancing Tactile sensor Technology with Neuromorphic Models and Machine Learning 6

Enhancing Tactile Sensor Technology with Neuromorphic Models...

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6th international conference on mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Lenka, Komali Jyothi, Pulaparthi Lakshmi Asha Brahma Ramesh, Kallakuri N.V.P.S. Lanka, Dasaradha Ramayya Srikanth, M. Rajesh, Jonnapalli Tulasi Dept of IT S.R.K.R.Engineering College India India AP Bhimavaram India Dept of Artificial intelligence and Machine learning Aditya University India Dept of IT SRKR Engineering College Bhimavaram India

ISBN: (纸本)9798331522667

This study presents a novel approach to enhancing touch sensor technology by utilizing machine learning techniques and neuromorphic models. Tactile sensing has struggled to accurately understand complex physical interactions, despite its significance for artificial touch and robotic dexterity. Our approach improves the classification of tactile data by using neuromorphic computing—models inspired by brain processing—to identify changes in the environment, variations in force, and textures. We evaluate our model on benchmark tactile datasets and demonstrate its superior sensory resolution and increased adaptability. For robotics, prosthetics, and human-machine interfaces, the results are very important because they show that neuromorphic tactile sensors improve the accuracy and speed of data classification. This study showcases the potential of neuromorphic models to improve tactile perception, paving the way for more advanced and adaptable sensory systems. © 2025 ieee.

关键词： Prosthetics

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Patient Health Internet of Things Wearable Device sensor with Machine Learning for Tracking System 3

Patient Health Internet of Things Wearable Device Sensor wit...

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3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Nancy, R. Jonathan, R. Moorthy, Jagadeesan Latha, R. Thangavelu, Raja Srm Institute of Science and Technology Srm College of Pharmacy Kattankulathur Chengalpattu India Srm Institute of Science and Technology Srm College of Pharmacy Department of Pharmacy Practice Kattankulathur Chengalpattu603203 India Department of Commerce Nagapattinam India University of Technology and Applied Sciences College of Engineering and Technology Shinas Oman

ISBN: (纸本)9798331509675

Monitoring of patients and updates on their health status are important, especially in pandemic situations. Hospitalization in India is very costly for locals with average incomes because medical equipment is very costly and the population is also increasing, thus reducing the number of hospital beds. Moreover, hospitals in rural areas are mostly far from the locations where patients live. To overcome such challenges, this paper suggests an efficient and economical IoT-based system with sensors and a mobile application to monitor patients' health information from their location continuously. Doctors can also access real-time updates of patients' health through the mobile application. Utilizing improved machine learning processes for better accuracy and real-time response, the current research brings forth a new wearable IoT-integrated device targeted for stuttering monitoring and correction. The gadget combines different hardware and software elements, such as sensors, microcontrollers, and communication protocols, to accurately record the patient's health status. © 2025 ieee.

关键词： Electronic health record

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Design of a Smart Home Door Security System with Face Detection and Smart Bell using ESP32-CAM 6

Design of a Smart Home Door Security System with Face Detect...

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6th international conference on mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Salsabila, Nurhusna Siswanto, Apri Bayuaji, Luhur Informatics Department Faculty of Engineering Universitas Islam Riau Pekanbaru Indonesia Fac. Data Science and Information Technology INTI International University Malaysia

ISBN: (纸本)9798331522667

This research introduces the design and implementation of an advanced IoT-based home security system aimed at improving both convenience and safety for homeowners. The system integrates a smart doorbell with a mobile application, enabling real-time alerts for guest arrivals. Key features include facial recognition for automated door unlocking and notification of unrecognized visitors. When an unknown face is detected, the system sends an image along with a notification to the homeowner via a Telegram bot. The architecture incorporates the ESP32-CAM microcontroller for face detection, a solenoid lock for automatic door access, and an ultrasonic sensor to detect visitor presence. Extensive testing under various environmental conditions was conducted to assess the system's performance, particularly in terms of face recognition accuracy and notification delivery. The results indicate that the system significantly enhances home security by ensuring timely notifications and automating door access for verified individuals. While the system performs reliably in well-lit environments, challenges remain in low-light conditions. Software testing confirmed the robustness of the underlying logic. This innovative IoT solution overcomes the limitations of traditional security systems, offering a more secure, user-friendly, and efficient alternative for modern home security. © 2025 ieee.

关键词： Ultrasonic sensors

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AI based Decision Tree Classifier for Detecting Anomalies in IoT Wireless sensor Networks 6

AI based Decision Tree Classifier for Detecting Anomalies in...

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6th international conference on mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Akhther, Parveen A. Sreelekha, Gopavaram Prasanth, V.S. Dept. of CSE Sathyabama Institute of Science & Technology Chennai600 119 India Dept. of ECE Madanapalle Institute of Technology & Science Andhra Pradesh 517 325 India Dept. of ECE Sathyabama Institute of Science & Technology Chennai600 119 India

ISBN: (纸本)9798331522667

This research study applies a Decision Tree Classifier to detect anomalies in IoT networks using the NSL-KDD collection of data, which is a used widely as a benchmark for intruder identification. Following categorical feature preprocessing with label encoding, a class-weight-adjusted Decision Tree was applied to handle class imbalance. The model achieved 92% accuracy and an F1 score of 0.89, showing very strong performance in distinguishing between normal and anomalous network behaviours. The results were further validated using performance indicators such as the ROC curve, classification matrix, and F1-score. This approach has great promise for real-time anomaly detection in IoT systems, enhancing network security with high accuracy and reliable threat identification. The novelty is in the integration of feature selection and hyperparameter optimization to improve the performance of the decision tree model, addressing the challenges of high-dimensional data and dynamic network conditions that have not been explored much in the existing literature. © 2025 ieee.

关键词： Feature Selection

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