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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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A distributed Fault Tolerance Mechanism for an IoT Healthcare system 21

A Distributed Fault Tolerance Mechanism for an IoT Healthcar...

引用

21st international Arab conference on Information Technology (ACIT)

作者： Zaiter, Meriem Hacini, Salima Moussa, Guedrez Larbi Ben Mhidi Univ Oum El Bouaghi Oum El Bouaghi Algeria Abdelhamid Mehri Univ Constantine 2 LIRE Lab Constantine Algeria BDL Bank Blida Algeria

ISBN: (纸本)9781728188553

IoT environment is one of important upshots of IT development;it offers comfort to human daily life. We are interested in our paper in the healthcare IoT field which aims to remotely monitor the patient's health state using a set of physiological IoT sensors. In IoT systems dependability is a strong constraint because the fault occurrence can have a bad consequence on human life. The fault tolerance is one of the mechanisms that can insure a dependable function of the IoT healthcare system. To do this, we improve in this paper the centralized agent based architecture [1] by proposing more robust distributed one. That is by eliminating the weakness due to the centralization of the control. This upgrading is motivated by the fact that the current improvement of the network technologies and the occurrence of new promising paradigms like edge computing and 5G [2] require different reasoning philosophy.

关键词： IoT Medical System Dependability Fault Tolerance Agent

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RGB-D sensors Extrinsic Calibration In Controlled Environment

RGB-D Sensors Extrinsic Calibration In Controlled Environmen...

引用

ieee international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Krasimir Tonchev Agata Manolova Nikolay Neshov Vladimir Poulkov Teleinfrastructure Lab Technical University of Sofia Bulgaria Faculty of Telecommunications Technical University of Sofia Bulgaria

ISBN: (纸本)9781665426060

RGB-D sensors provide rich information about the scene including color and 3D data. This information is valuable for the forthcoming analysis on the object of interest or the scene as a whole. Depending on the task, multiple sensors might be needed in order to provide details about process under observation. In this case, calibration between the sensors is necessary in order to provide consistent information related to the 3D world. A lot of work has been done related to RGB-D sensor calibration, since the introduction of Kinect in 2010, however it is still an active area of research. In this paper we propose an algorithm for RGB-D sensors extrinsic calibration, in a scenario where each sensor is located in closed and known environment. This knowledge of the environment helps to exploit its structure in the most optimal way for the calibration process. It includes planes locations and planes relative position. We propose two stage procedure for extrinsic calibration, in pairwise and global manner. The experimental results validate our approach for real applications.

关键词： Three-dimensional displays Image color analysis conferences Semantics Data acquisition Lighting sensor phenomena and characterization

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Environmental Condition Aware Data and Energy Economy Methodology in distributed systems 6

Environmental Condition Aware Data and Energy Economy Method...

引用

6th international conference on Mechatronics and Robotics Engineering

作者： Schlechter, Thomas Fischer, Johannes Univ Appl Sci Upper Austria Wels Austria Bosch Connected Devices & Solut GmbH Reutlingen Germany

ISBN: (纸本)9781728157405;9781728157399

distributed (im-)mobile sensor nodes are becoming more and more widespread and increase dramatically in number. The ever occurring problem is the efficient power supply: minimize energy to be stored (i.e., small battery size) versus enhance life-time - those are conflicting requirements which call for efficient energy management algorithms. In this paper we provide an overview on recent research in that field. Based on this review, we propose an algorithm which is self-learning, adaptive to environmental conditions, and update-able during run-time. The implementation can be a solution to various real world problems.

关键词： intelligent data rate selection IoT distributed sensors smart computing smart energy management

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distributed Ledger systems to Improve Data Synchronization in Enterprise Processes

Distributed Ledger Systems to Improve Data Synchronization i...

引用

ieee distributed computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Jignesh Karia Mukundan Sundararajan G Srinivasa Raghavan IBM Consulting IBM India Pvt. Ltd Bengaluru India

ISBN: (纸本)9781665429528

Master Data Management (MDM) in enterprises deal with fixed data/information regarding different aspects of business that are considered single record of truth and form the basis for all business transactions. Enterprises manage their master data by several methods to ensure that it is a unique comprehensive representation of the entity by spending considerable resources in MDM but at the cost of time delays for updating the master data records or structure and with copies of the master data distributed across the enterprise units for operational needs that many times has modifications not reflected back into the master tables. Issues of delays in the master data updates lead to business impacts while the distributed nature of master data across an organization or organizations impacts data quality. distributed ledger technology (DLT) is one approach that uses blockchain to obtain consensus to cut down the approval cycle time and the distributed nature makes it uniquely suited to manage synchronizing master data updates across the network of required users in the enterprise. Choice of correct business processes to benefit from using DLT for MDM is critical to obtain benefits from improvements. This paper shows a method to select from candidate business processes with coarse or fine process data and the value that can be gained from implementation of DLT for MDM.

关键词： distributed ledger Delay effects Data integrity distributed databases Organizations Very large scale integration Delays

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Multi-sensor Calibration Planning in IoT-Enabled Smart Spaces 39

Multi-Sensor Calibration Planning in IoT-Enabled Smart Space...

引用

39th ieee international conference on distributed computing systems (ICDCS)

作者： Zhu, Qiuxi Sailhan, Francoise Uddin, Md Yusuf Sarwar Issarny, Valerie Venkatasubramanian, Nalini Univ Calif Irvine Dept Comp Sci Irvine CA 92697 USA Cnam Paris Cedr Lab Paris France Inria Paris MiMove Team Paris France

ISBN: (纸本)9781728125190

Emerging applications in smart cities and communities require massive IoT deployments using sensors/actuators (things) that can enhance citizens' quality of life and public safety. However, budget constraints often lead to limited instrumentation and/or the use of low-cost sensors that are subject to drift and bias. This raises concerns of robustness and accuracy of the decisions made on uncertain data. To enable effective decision-making while fully exploiting the potential of low-cost sensors, we propose to send mobile units (e.g., trained personnel) equipped with high-quality (more expensive) and freshly-calibrated reference sensors so as to carry out calibration in the field. We design and implement an efficient cooperative approach to solve the calibration planning problem, which aims at minimizing the cost of the recurring calibration of multiple sensor types in the long-term operation. We propose a two-phase solution that consists of a sensor selection phase that minimizes the average cost of recurring calibration, and a path planning phase that minimizes the travel cost of multiple calibrators which have load constraints. We provide fast and effective heuristics for both phases. We further build a prototype that facilitates the mapping of the deployment field and provides navigation guidance to mobile calibrators. Extensive use-case-driven simulations show our proposed approach significantly reduces the average cost compared to naive approaches: up to 30% in a moderate-sized indoor case, and higher in outdoor cases depending on the scale.

关键词： Calibration sensor phenomena and characterization Intelligent sensors Planning Monitoring

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Microstrip Antennas used for Noninvasive Determination of Blood Glucose Level

Microstrip Antennas used for Noninvasive Determination of Bl...

引用

international conference on Intelligent computing and Control systems (ICICCS)

作者： Deshmukh, Vidya V. Chorage, Suvarna S. AISSMS Inst Informat Technol Dept E&TC Engn Pune Maharashtra India AISSMS Coll Engn Pune Maharashtra India Bharati Vidyapeeth Coll Engn Women Dept E&TC Engn Pune Maharashtra India

ISBN: (数字)9781728148762

ISBN: (纸本)9781728148762

Noninvasive determination of biological parameters is a research challenge now a day. A suitable noninvasive technique that measures blood glucose level (BGL) accurately without any side effect is not available till date. This paper presents possibility of measurement of BGL of human being noninvasively using Microwave sensor. Various microstrip antenna structures like a spiral antenna, ultra-wideband antenna, and narrowband antenna are proposed as microwave sensors, and performance is measured in terms of return loss. Experimentation on each antenna is carried out to check the frequency response of antenna for various BGLs measured using the available invasive technique. BGL and microwave frequency relation is determined using these proposed antennas to a model noninvasive blood glucose meter. A comparative study of antennas is done.

关键词： Noninvasive Blood Glucose Level (BGL) Material Under Test (MUT) Microwave sensor

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ECCH: Erasure Coded Consistent Hashing for distributed Storage systems

ECCH: Erasure Coded Consistent Hashing for Distributed Stora...

引用

ieee international conference on Big Data and Cloud computing (BdCloud)

作者： Yinglong Xiong Jiang Zhou Lin Su Weiping Wang Yong Chen Chinese Academy of Sciences Institute of Information Engineering Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Texas Tech University Lubbock USA

In this paper, we propose ECCH, an Erasure Coded Consistent Hashing scheme to make better data placement in distributed storage systems. It combines the inherent advantages of consistent hashing together with the storage-efficiency of erasure coding technology. Specifically, ECCH divides data block stream of files into groups according to block IDs. In each group, it encoded data blocks with additional parity blocks by erasure coding. All encoded blocks in the same group are stored on different nodes with consistent hashing distribution. For node failure or data loss, ECCH locates required data through the ID of missing block in a same group for fast recovery. To deal with node changes, ECCH introduces a design of multi-version hash rings to manage data layout. It can prevent the impact of data migration on erasure coding, while achieving data balance with little data movement. We have implemented ECCH on the Sheepdog, a distributed object-based storage system. Evaluation results show that ECCH can greatly improve the space utilization of hashing-based storage systems, while achieving efficient fault tolerance.

关键词： Fault tolerance Data centers Cloud computing Scalability Layout Fault tolerant systems distributed databases

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distributed Contextualization of Biomedical Data: A Case Study in Precision Medicine 17

Distributed Contextualization of Biomedical Data: A Case Stu...

引用

17th ieee/ACS international conference on Computer systems and Applications, AICCSA 2020

作者： Sayadi, Sirine Geffard, Estelle Sudholt, Mario Vince, Nicolas Gourraud, Pierre-Antoine Chu Nantes Inserm University of Nantes Nantes France Stack Team Imt Atlantique Inria LS2N Nantes France

ISBN: (纸本)9781728185774

An important aspect of precision medicine consists in patient-centered contextualization analyses that are used as part of biomedical interactive tools. Such analyses often harness data of large populations of patients from different research centers and can often benefit from a distributed implementation. However, performance and the security and privacy concerns of sharing sensitive biomedical data can become a major issue. We have investigated these issues in the context of a kidney transplanted patient contextualization project: the Kidney Transplantation Application (KITAPP). In this paper, we present a motivation for distributed implementations in this context, notably for computing percentiles for contextualization. We present a corresponding system architecture, motivate privacy and performance issues, and present a novel distributed implementation that is evaluated in a realistic multi-site setting. © 2020 ieee.

关键词： Population statistics

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An Architecture for Resilient Intrusion Detection in IoT Networks

An Architecture for Resilient Intrusion Detection in IoT Net...

引用

ieee international conference on Communications (ieee ICC) / Workshop on NOMA for 5G and Beyond

作者： Al Qurashi, Mohammed Angelopoulos, Constantinos Marios Katos, Vasilios Bournemouth Univ Poole Dorset England

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150895

We introduce a lightweight architecture of Intrusion Detection systems (IDS) for ad-hoc IoT networks. Current state-of-the-art IDS have been designed based on assumptions holding from conventional computer networks, and therefore, do not properly address the nature of IoT networks. In this work, we first identify the correlation between the communication overheads and the placement of an IDS (as captured by proper placement of active IDS agents in the network). We model such networks as Random Geometric Graphs. We then introduce a novel IDS architectural approach by having only a minimum subset of the nodes acting as IDS agents. These nodes are able to monitor the network and detect attacks at the networking layer in a collaborative manner by monitoring 1-hop network information provided by routing protocols such as RPL. Conducted experiments show that our proposed IDS architecture is resilient and robust against frequent topology changes due to node failures. Our detailed experimental evaluation demonstrates significant performance gains in terms of communication overhead and energy dissipation while maintaining high detection rates.

关键词： Computer architecture Wireless sensor networks Intrusion detection Peer-to-peer computing Monitoring Wireless communication Protocols

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distributed MHT with Passive sensors

Distributed MHT with Passive Sensors

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international conference on Information Fusion

作者： Stefano Coraluppi Constantino Rago Craig Carthel Brandon Bale Systems & Technology Research Woburn MA USA

ISBN: (纸本)9781665414272

This paper focuses on two challenges in multi-target tracking with passive sensors. The first is the well-known observability problem whereby individual sensor measurements are insufficient to localize targets. The second is the need to relax the usual small-target assumption of at most one measurement per target per scan. Indeed, in some applications such as passive sonar, there are repeated measurements, i.e. multiple detections per target per scan of one sensor. We examine these challenges in a multi-sensor setting and describe the advantages of a distributed MHT solution architecture, with measurement-space tracking following by multi-sensor Cartesian tracking using a robust Cartesian initialization scheme. In the presence of repeated measurements, there are (at least) two viable processing architectures. In both cases we leverage a recently developed generalization to the MHT recursion. We study the relative merits of the two alternative solutions.

关键词： Target tracking Surveillance conferences Sonar measurements sensors Observability Sonar detection

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