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

共 3168 条记录，以下是151-160 订阅

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Hole Approximation-Dissemination Scheme for Bounded-Stretch Routing in sensor Networks

Hole Approximation-Dissemination Scheme for Bounded-Stretch ...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Nguyen, Phi-Le Nguyen, Khanh-Van Ha Noi Univ Sci & Technol Hanoi Vietnam

ISBN: (纸本)9781479946181

The routing stretch in a sensor network with a large hole can be controlled if the network nodes have certain information about the hole location and shape, possibly by using some mechanism for hole boundary approximation and information dissemination. Here, the nodes on the hole boundary cooperate to approximately compute the hole shape, and then a compact description info can be created and disseminated to the surrounding area. However, a finer approximation (for smaller stretch) leads to a higher cost of dissemination, which could unlikely be affordable for the sensors. We provide an insightful analysis to this fundamental trade-off of the hole approximation problem, using a geometric model. Based on this we discuss an efficient approximation-dissemination scheme using a natural, heuristic approximation technique. For reasonable conditions (network is dense enough apart from the hole), we assure that the routing stretch is under a predefined threshold. alpha > 1 while the dissemination cost is also under tight control. Our initial experiment results also confirm that our approach is significantly more efficient and economical, compared to existing proposals.

关键词： Energy Saving Routing hole Routing protocol Routing stretch sensor network sensor networks Routing protocols Holes Network routing energy saving Energy conservation Stretch approximation Dissemination Information Dissemination network node

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(POSTER) Navigating the Unknown: Anomaly Detection in sensor Nodes Based on Event Traces 20

(POSTER) Navigating the Unknown: Anomaly Detection in Sensor...

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (dcoss-IoT)

作者： Band, Saurabh Foerster, Anna Univ Bremen Dept Sustainable Commun Networks Bremen Germany

ISBN: (纸本)9798350369458;9798350369441

In wireless sensor networks, post-deployment issues persist despite extensive testing, primarily due to unpredictable environmental factors and limited debugging tools for resource-constrained end nodes. This challenge is particularly pronounced in remote applications such as extraterrestrial habitats. To address this, we propose a runtime anomaly detection and diagnosis method for resource-constrained sensor nodes. A key advantage of our approach is its ability to learn expected behavior from historical data, eliminating the need for explicit behavior modeling, unlike other runtime fault detection methods. Our method comprises three main components: logging, detection, and diagnosis. We log event traces on the sensor nodes, enabling activity tracking down to the variable level. For anomaly detection, we explore various methods, including state transition, execution interval analysis, and clustering. Subsequently, diagnosis is performed using the logged event traces.

关键词： fault detection fault diagnosis IoT reliability machine learning pattern recognition anomaly detection

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Near-Optimal Deterministic Steiner Tree Maintenance in sensor Networks

Near-Optimal Deterministic Steiner Tree Maintenance in Senso...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Sharma, Gokarna Busch, Costas Louisiana State Univ Sch Elect Engn & Comp Sci Baton Rouge LA 70803 USA

ISBN: (纸本)9781479946181

We consider the group communication maintenance problem between a set of k mobile agents that are tracked by a static sensor network. We develop a scalable deterministic distributed algorithm for maintaining a Steiner tree of the agents so that group communication between them can be provided in the minimum cost possible. The main idea is that our algorithm maintains a virtual tree of mobile agents which can be immediately converted to an actual Steiner tree at all times. Our algorithm achieves the Steiner tree with total length at most O(log k) times the length of the minimum Steiner tree in the constant-doubling graph model. The total communication cost (messages) to maintain the Steiner tree is only O(min{log n, logD}) times the optimal communication cost, where n and D, respectively, are the number of nodes and the diameter of the network. We also develop improved algorithms for the k-center, sparse aggregation, and distributed matching problems. Experimental evaluation results show the benefits of our algorithms compared to previous algorithms. These four problems are NP-hard and, to the best of our knowledge, our algorithms are the first near-optimal deterministic algorithms for maintaining approximate solutions to these problems with low maintenance costs in a distributed setting.

关键词： sensor network Mobile agents Hierarchical structure Steiner tree k-center Aggregation Matching

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Mobility Management Solutions in Industrial Wireless sensor Networks 15

Mobility Management Solutions in Industrial Wireless Sensor ...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Zinonos, Zinon Vassiliou, Vasos Neapolis Univ Pafos Dept Comp Sci Pafos Cyprus Univ Cyprus Dept Comp Sci Nicosia Cyprus RISE Res Ctr Interact Media Smart Syst & Emerging Nicosia Cyprus

ISBN: (纸本)9781728105703

A number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the real-time monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use an industrial WSN setting to perform a comprehensive performance evaluation of different mobility handling solutions based on single- and multiple-metric options. The results show that Fuzzy Logic-based Mobility Controller (FLMC), the multiple-metric approach we used (based on Fuzzy Logic), performs better compared to any single metric-based approach under a varying set of conditions. More specifically, we demonstrate that the Fuzzy Logic -based approach can efficiently control the handoff triggering procedure and provide high reliability (low packet loss) under different mobility models, different radio propagation models, and different topologies.

关键词： sensor Networks Mobility Management Fuzzy Logic

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Towards Context Aware Adaptive Deployment in ML Applications Using State Machines 17

Towards Context Aware Adaptive Deployment in ML Applications...

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

作者： Dolui, Koustabh Michiels, Sam Lowet, Dietwig Hughes, Danny Hallez, Hans Katholieke Univ Leuven Imec Distrinet Comp Sci Leuven Belgium Philips Res Eindhoven Netherlands

ISBN: (纸本)9781665439299

This paper starts from the observation that mobile and edge devices are powerful enough to execute Machine Learning (ML) application components, which in turn creates opportunities to keep privacy-sensitive data close to its source. Composing and deploying a distributed ML application is far from trivial because the optimal configuration depends on the application's goals and execution context, both of which may change throughout its lifetime. Prior research on context-aware reconfigurations in ML based applications offer limited capabilities for dynamically migrating software components between mobile, edge and cloud devices. In this paper, we propose a context-aware middleware that enables automated optimizations of the application deployment in order to satisfy the application's functional goals while the execution context changes in terms of available computation, memory and network resources. We use finite state machines to model the reconfiguration of the application based on contextual triggers and facilitate system design through the abstraction of system states. We illustrate the benefits of our approach with an image recognition application with well-defined performance goals that is deployed in a three-tier mobile-edge-cloud architecture.

关键词： Context-aware services Image recognition Machine learning Computer architecture sensor systems Middleware distributed computing

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A distributed AI-based Disease Classification Approach 20

A Distributed AI-based Disease Classification Approach

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (dcoss-IoT)

作者： Comito, Carmela Forestiero, Agostino Fazzinga, Bettina CNR ICAR Arcavacata Di Rende CS Italy Unical DICES Arcavacata Di Rende CS Italy

ISBN: (纸本)9798350369458;9798350369441

This paper presents a distributed learning approach designed to assist physicians in diagnosing diseases based on a patient's current health status, clinical history, and test results. The methodology relies on neural network models and supervised classifiers to identify illnesses. It utilizes word embedding to capture semantic relationships among hospital admissions, symptoms, and diagnoses. Additionally, it introduces a method to evaluate the connection between different diagnoses based on symptom similarity, aiding in prediction tasks. Experimental results on a real-world Electronic Health Records (EHR) dataset showcase the effectiveness and accuracy of the proposed technique, providing clinically relevant interpretations. These findings suggest promising avenues for future enhancements of the framework as a valuable diagnostic tool.

关键词： Clinical Decision Support System Disease Classification Word Embeddings

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Transparent Integration of Non-IP WSN into IP based Networks

Transparent Integration of Non-IP WSN into IP based Networks

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Teubler, Torsten Hail, Mohamed A. Hellbrueck, Horst Lubeck Univ Appl Sci Lubeck Germany

ISBN: (纸本)9780769547077

Embedded devices connected to the Internet will start an increasing growth of the Internet in near future. Wireless sensor Networks (WSN) will play a major role in that growth. In the past several solutions were proposed to make sensor networks IP capable. Today there are IPv6-Stacks available including web servers running on sensor nodes. However, a gateway is always needed to convert the routing protocols and MAC-Layer Protocols including compression of IP packets to run on these devices. The overhead using IPv6 on the nodes is very high in respect of code size and message overhead. Therefore, in our approach we design and implement a system based on simple protocols target for sensor network nodes and a flexible gateway working in a hybrid fashion for our sensor network testbed. We successfully integrated this non-IP WSN in the Internet and our testbed is productive available from any computer connected to the Internet for reference. In this paper we present the architecture of our solution and present the implementation details of a standard WSN application that can be used for evaluation.

关键词： Wireless sensor networks IP networks Internet

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distributed Mining of Popular Paths in Road Networks 14

Distributed Mining of Popular Paths in Road Networks

引用

14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Katsikouli, Panagiota Astefanoaei, Maria Sinziana Sarkar, Rik Univ Edinburgh Informat Edinburgh Midlothian Scotland Univ Lyon INRIA INSA Lyon CITI Lyon France

ISBN: (纸本)9781538654705

We consider the problem of finding large scale mobility patterns. A common challenge in mobility tracking systems is that large quantity of data is spread out spatially and temporally across many tracking sensors. We thus devise a spatial sampling and information exchange protocol that provides probabilistic guarantees on detecting prominent patterns. For this purpose, we define a general notion of significant popular paths that can capture many different types of motion. We design a summary sketch for the data at each tracking node, which can be updated efficiently, and then aggregated across devices to reconstruct the prominent paths in the global data. The algorithm is scalable, even with large number of mobile targets. It uses a hierarchic query system that automatically prioritizes important trajectories - those that are long and popular. We show further that this scheme can in fact give good results by sampling relatively few sensors and targets, and works for streaming spatial data. We prove differential privacy guarantees for the randomized algorithm. Extensive experiments on real GPS data show that the method is efficient and accurate, and is useful in predicting motion of travelers even with small samples.

关键词： Trajectories road networks sensor networks distributed algorithm clustering spatial query processing differential privacy

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Work in Progress: MiceNet: Monitoring Behaviour of Laboratory Mice with sensor Networks

Work in Progress: MiceNet: Monitoring Behaviour of Laborator...

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7th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Stamatescu, Grigore Roemer, Kay Ludwig, Ralf Ibrahim, Saleh M. Sgarciu, Valentin Med Univ Lubeck Inst Comp Engn D-23562 Lubeck Germany Med Univ Lubeck Dept Dermatol D-23562 Lubeck Germany Univ Politehn Bucuresti Fac Automat Control & Comp Bucharest 060042 Romania

ISBN: (纸本)9781457705137

Medical research uses laboratory mice for experimental studies. Currently, symptoms are manually observed and recorded, resulting in noisy data - requiring many animals to obtain statistically significant results. We propose the use of a camera sensor network attached to mice cages as a low-cost solution for continuously monitoring mouse behavior and providing remote access to the data for scientists. The benefits of this approach are discussed along with challenges encountered in the initial phases of deployment. The proposed hardware and software architecture is described and early experimentation results are presented.

关键词： Cameras Image color analysis Laboratories Mice MiceNet system Monitoring biological techniques camera sensor network cameras hardware architecture laboratory mice behaviour monitoring system laboratory techniques remote data access remote sensing software

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DISSense: An Adaptive Ultralow-power Communication Protocol for Wireless sensor Networks

DISSense: An Adaptive Ultralow-power Communication Protocol ...

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7th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Colesanti, Ugo Maria Santini, Silvia Vitaletti, Andrea Univ Roma La Sapienza Dipartimento Informat & Sistemist Rome Italy ETH Inst Pervasive Comp Zurich Switzerland

ISBN: (纸本)9781457705137

This paper presents DISSense, an adaptive, ultralow-power communication protocol for wireless sensor networks. DISSense is specifically designed for long-term environmental monitoring applications and it provides for both data collection and data dissemination services. By automatically adapting the length of its active phases, DISSense can guarantee for both a very low duty cycle and reliable data delivery. We tested the performance of DISSense on both a testbed and on the TOSSIM simulation environment. Our experimental results show that a sensor network running DISSense can provide for average data delivery ratios above 98% and at the same time achieve a lifetime of several years. Our TinyOS 2.1 implementation of DISSense is publicly available.

关键词： DISSense Engines Media Access Protocol Routing Schedules Synchronization TOSSIM simulation environment TinyOS 2.1 Wireless sensor networks access protocols adaptive communication protocol data collection data delivery data dissemination services duty cycl

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