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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

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Aware: Adaptive distributed Training with Computation, Communication and Position Awareness for Deep Learning Model 24

Aware: Adaptive Distributed Training with Computation, Commu...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Zeng, Yan Yi, Guangzheng Yin, Yuyu Wu, Jiyang Xue, Meiting Zhang, Jilin Wan, Jian Zhang, Yunquan School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China School of Cyberspace Hangzhou Dianzi University Hangzhou China Institute of Computing Technology Chinese Academy of Sciences State Key Laboratory of Computer Architecture Beijing China

ISBN: (纸本)9798350319934

the accuracy of the neural networks can usually be improved by increasing the size of the dataset and the layers or operators of the network, as it has strong composability. But, it makes a challenge to train these models efficiently, due to the limited resources of a single device, such as memory, computational resource and so on. For this challenge, it has become an inevitable trend to automatically implement model parallelism across multiple devices. this paper proposes Aware, an adaptive distributed parallel training method, to search distributed parallel strategy automatically for deep learning model. It firstly proposes an operator fusion strategy with computation and communication awareness to simplify the computational graph of deep learning model. And then, it introduces position-aware graph embedding algorithm to extract the structural features of models, which can make the searched parallel strategies to transplant to other networks with similar structures. On this basis, we use reinforcement learning algorithm to search distributed parallel strategy automatically. this paper makes experiments with neural networks such as Inception V3, NMT, GNM, NasNet and ResNet, and uses CIFAR10 and PTB datasets to compare the two methods of Hierarchical and Placeto. the results show that compared with Placeto, Aware achieves up to 5% reductions in runtime. Aware achieves more than 8% reductions in runtime compared with Hierarchical. Moreover, it has better transplantation and generalization capabilities, and supports pre-training for large-scale network parallel strategy search and accelerates convergence. © 2022 ieee.

关键词： Deep learning

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A data-driven sensor Model for LIDAR Range Measurements used for Mobile Robot Navigation 6

A data-driven Sensor Model for LIDAR Range Measurements used...

引用

6th ieee international conference on Robotic computing, (IRC)

作者： Spiess, Florian Strobel, Norbert Kaupp, Tobias Kounev, Samuel Univ Appl Sci Wuerzburg Schweinfurt Fac Elect Engn Wurzburg Germany Univ Appl Sci Wuerzburg Schweinfurt Inst Med Engn Wurzburg Germany Univ Appl Sci Wuerzburg Schweinfurt Inst Digital Engn IDEE Wurzburg Germany Julius Maximilians Univ Wuerzburg Fac Math & Comp Sci Wurzburg Germany

ISBN: (纸本)9781665472609

In this paper, an analysis of the precision of LIDAR range measurements is presented. LIDAR data from two different sensors (HLS-LFCD-LDS and SICK TIM561) were analyzed regarding the influence of range, incident angle to the surface, and material. Based on the results, a data-driven model for LIDAR precision behavior was developed, and a comparison with standard deviation models based on the vendor-provided specifications was presented. Our model can be used to create realistic sensor simulations and to develop robot navigation algorithms weighing sensor range readings based on the precision.

关键词： Localization Probability and Statistical Methods Range Sensing Simulation and Animation

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Accelerating 6TiSCH Network Formation 17

Accelerating 6TiSCH Network Formation

引用

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

作者： Tanaka, Yasuyuki Minet, Pascale Watteyne, thomas Teraoka, Fumio Toshiba Co Ltd Corp R&D Ctr Kawasaki Kanagawa Japan INRIA EVA Team Paris France Keio Univ Fac Sci & Technol Yokohama Kanagawa Japan

ISBN: (纸本)9781665439299

Wireless sensor networking is a key enabler of Industrial IoT. IETF (Internet Engineering Task Force) has standardized a protocol suite called 6TiSCH (IPv6 over the TSCH mode of ieee802.15.4e). 6TiSCH builds an IPv6 multi-hop wireless network with the ieee802.15.4 radio, which achieves low energy consumption and high reliability. Although network formation time is one of key performance indicators of wireless sensor networks, it has not been studied well with 6TiSCH standard protocols such as MSF (6TiSCH Minimal Scheduling Function) and CoJP (Constrained Join Protocol). In this paper, we propose a scheduling function called SF-Fastboot which shortens network formation time of 6TiSCH. We evaluate SF-Fastboot by simulation comparing with MSF, the state-of-the-art scheduling function. the simulation shows SF-Fastboot reduces network formation time by 41 % - 80 %.

关键词： 6TiSCH TSCH ieee802.15.4 Network formation Scheduling Lifetime

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distributed Model Predictive Control-based Collaborative Scheduling for Multi-microgrids Industrial Park 6

Distributed Model Predictive Control-based Collaborative Sch...

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6th international conference on Energy, Electrical and Power Engineering, CEEPE 2023

作者： Wang, Yanxin Chen, Jiajia Zheng, Jiehui Chen, Wengang Xu, Bingyin School of Electrical and Electronic Engineering Shandong University of Technology Zibo China School of Electric Power Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350348279

Multi-microgrids collaboration can offer great potential benefits to industrial park since they possess considerable flexibility in local consumption of renewable energy and reduction of operation cost. However, the uncertainties and fluctuations arising from photovoltaic and load pose great challenges for revenue maximization of industrial park. In light of this, a distributed model predictive control (DMPC) with consistency theory and synchronous alternating direction multiplier method (SADMM) is proposed for collaborative scheduling of multi-microgrids industrial park, which only requires the information exchanging among interconnected units. Firstly, the robust equivalence associated with uncertain photovoltaic and load is formed by polyhedron uncertainty set, and a robust revenue maximization model for industrial park is proposed in consideration of time-of-use price, demand price, and on-grid price under two-part tariff. After that, a DMPC with consistency theory based strategy considering incremental operation cost of various controllable resources is presented to address the fluctuations in real-time power regulation. Finally, we provide a SADMM to optimize the proposed control strategy to achieve completely distributed computing. Simulation results conducted on a multi-microgrids industrial park illustrate that the proposed collaborative scheduling can efficiently manage flexible resources to lessen the influence of uncertainties and fluctuations on the revenue of industrial park. © 2023 ieee.

关键词： Model predictive control

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AreaHash: A Balanced and fully scalable consistency hashing algorithm 24

AreaHash: A Balanced and fully scalable consistency hashing ...

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作者： Zeng, Yan Zhang, Jinbo Xue, Meiting Wan, Jian Zhang, Jilin Zhou, Li School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China School of Cyberspace Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9798350319934

distributed systems use consistent hashing algorithms to solve load balancing problems because of their good balance, minimal interruptions, and high query rates. However, existing algorithms fail to maintain consistency under changes, require high memory for high query rates, or have poor scaling. therefore, we propose consistent AreaHash, which virtualizes the hash space into a ring. the logically ordered ring nodes occupy the same area, allowing the AreaHash to expand the nodes without any change. the key calculated using the hashing algorithm can be mapped to a node by a simple shift calculation, reducing memory requirements. We make a reasonable theoretical analysis and perform high-level algorithm implementation with a memory footprint of only a few bytes per node. Experimental results indicate that AreaHash achieves a lookup rate of more than 40 million keys per second, even when the number of nodes on a single CPU exceeds one million. In addition, a lookup rate of more than 20 million keys per second is achieved when more than half of the nodes in the cluster are down. © 2022 ieee.

关键词： Consistent hashing distributed systems fully scalable load balancing resource efficient

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A Survey of Localization Techniques for Navigation in Road Networks 6

A Survey of Localization Techniques for Navigation in Road N...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Vats, Tanmay Singh, Saravjeet Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350304480

GPS localization is the technique of using the GPS (Global Positioning System) to pinpoint the exact location of a device or object on the surface of the planet. Due to a variety of circumstances, including satellite geometry, signal blockage, atmospheric conditions, multipath effects, and several other causes, GPS signals can occasionally experience mistakes and inaccuracies. In road networks, GPS localization methods primarily target on-road cars. Several GPS localization methods are used frequently in road networks in the modern era, including Differential GPS (DGPS), Dead Reckoning, sensor Fusion, Real-Time Kinematic (RTK) GPS, and map-matching. the technique that is used is determined by the application needs, such as precision, dependability, and availability of GPS signals, as well as by the infrastructure and financial constraints that are in place. this paper offers an evaluation of various GPS localization methods that are frequently utilised in road networks along with some of the challenges faced in using these techniques. © 2023 ieee.

关键词： Dead Reckoning Differential GPS (DGPS) Global Positioning System (GPS) GPS localization map-matching Real-Time Kinematic (RTK) GPS sensor Fusion

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Performance Evaluation of Energy Optimization Techniques for WSN Based Environment 6

Performance Evaluation of Energy Optimization Techniques for...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Nagappan, Beemkumar Saxena, Abhilash Kumar University Karnataka Bangalore India College of Computing Science and Information Technology Teerthanker Mahaveer University Uttar Pradesh Moradabad India

ISBN: (纸本)9798350304480

the primary aim is to Minimizing energy consumption and increasing the durability of the sensor network. the implementation of hierarchical routing can efficiently decrease energy usage within a cluster through the process of data aggregation and fusion, ultimately leading to a reduction in the number of messages transmitted to the base station. the generation of optimal clusters is contingent upon the execution of cluster head selection and cluster formation procedures. It is recommended to minimize the quantity of messages exchanged while simultaneously ensuring that the overall time complexity remains stable and unaffected by the expansion of the network. the objective of this investigation is to optimize energy efficiency through the elimination of the setup phase for cluster head selection, which is based on the criterion of maximum residual energy. Instead, the study proposes to proceed with the steady phase until the average energy of the cluster is attained. the principal objective of this study is to enhance energy efficiency and prolong the longevity of the network. Numerous techniques have been proposed for the purpose of optimizing energy, such as LEACH, HEED, and EECS. However, our proposed approach is deemed superior and more precise. A comparative analysis has been conducted to support this assertion. © 2023 ieee.

关键词： energy optimization LEECH MATLAB Wireless sensor networks

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Design & Imlementation of Smart RO Purifier for Remote Monitoring using IoT sensor 6

Design & Imlementation of Smart RO Purifier for Remote Monit...

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6th international conference on Information systems and Computer Networks, ISCON 2023

作者： Kumar, Ajitesh Kumari, Mona GLA University Cea Mathura India

ISBN: (纸本)9798350346961

there are some major deficiencies in existing models of modern water purifiers such as when water purification motor runs in spite of having no water inlet results in burning of the motor circuit. the first module of the invention solves this problem by checking the flow of water inlet using Water Flow sensor and sends signal to user's smartphone when water flow anyhow stops. User can then cut power flowing to the motor. this will also prevent the wastage of electricity that is going to be used by the motor. Now, in almost every purifier, the purifying device runs on its own and have fixed parameter of water level on which it runs. But it results in wastage of electricity and potential of purifier. So, this invention will use ultrasonic sensor that calculates the water level and user can dynamically set the water level parameter on which the purifier will run. And in normal purifiers, we get the fixed water purifying rate and speed which does not vary on the basis of water quality and ultimately reduce the performance level of the purifier. therefore, this invention will use a smart regulator connected with our mobile device through cloud and by which user can control the purifier's rate and speed according to the water quality. Smart water purifier is equipped with a Water Flow sensor which will check the flow of water through inlet, an Ultrasonic sensor which measures the level of water purified by the purifier, a pH-rod to check the quality of water and a 16 × 2 LCD Module to display the readings of the sensors.. © 2023 ieee.

关键词： Water levels

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Performance Analysis of Integration of Wireless sensor Network with Li-Fi Wireless Communication Technology 6

Performance Analysis of Integration of Wireless Sensor Netwo...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Dalela, Chhaya Singh, Priyanjali Verma, Shruti Gupta, Shivam JSS Academy of Technical Education Electronics and Communication Department Noida India

ISBN: (纸本)9798350304480

Ensuring data security in WSNs (Wireless sensor networks) has been a persistent issue. the absence of a reliable mechanism to secure data poses a serious threat to the integrity of information. Also, the quality of services provided by WSNs is poor. Hence, there exists a need for a new technological paradigm that can address these shortcomings of WSNs. In this regard, Li-Fi technology emerges as a highly relevant wireless communication technology. this research paper focuses on the integration of Li-Fi with WSNs and analyses its performance using the software: Opti System, used for analyzing the communication system. In this paper, three models: the LOS model, the single LED non-LOS model, and the double LED non-LOS models have been considered and the LOS model has been found best with an eye height of 1.050 due to which it leads to minimum distortion and noise as compared to the other two, which are non- LOS models. © 2023 ieee.

关键词： Light Fidelity (Li-Fi) Light-emitting Diode (LED) Line-of-Sight (LOS) MATLAB Opti System software Photodiode (PD) Wireless sensor Networks (WSNs)

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BOBBLE: A Mixed Routing-Granularity distributed Load Balancing for Data Center Networks 23

BOBBLE: A Mixed Routing-Granularity Distributed Load Balanci...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Xu, Zhengzhi Lu, Yifei Ma, Xu School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665494571

In current Datacenter Networks (DCNs), Equal-Cost Multipath (ECMP) is a default load balancing scheme. However, using ECMP may result in rapid growth of Flow Completion Time (FCT) due to its well-known drawbacks. In order to solve the problem of ECMP, load balancing schemes with per-packet granularity (such as RPS) and per-flowlet granularity (such as LetFlow) are proposed. these two different granularities have their own features, but there's no existing load balancing considering both their advantages. In this paper, we mix per-flowlet and per-packet in scheduling decisions and introduce the potential performance bottleneck in mixed granularities load balancing. Based on this idea, we propose a hybrid scheme for load balancing, referred to as BOBBLE. the key idea of BOBBLE is to distinguish elephant and mouse flows and schedule them with different granularity. We evaluate BOBBLE in simulations with NS-3. Experiment shows that BOBBLE slightly sacrifices elephant flows FCT but it is worthy because our results demonstrate that BOBBLE is a good trade-off which outperforms RPS and LetFlow in mouse flows FCT in both symmetric and asymmetric topology. © 2021 ieee.

关键词： Data centers Network topology Smart cities Load management Routing Mice Computer networks

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