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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91-100 订阅

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Engineering distributed Collective Intelligence in Cyber-Physical Swarms 20

Engineering Distributed Collective Intelligence in Cyber-Phy...

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

作者： Aguzzi, Gianluca Savaglio, Claudio Univ Bologna Cesena Italy Univ Calabria Calabria Italy

ISBN: (纸本)9798350369458;9798350369441

Cyber-physical swarms represent a paradigm shift in distributed systems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these complex systems, characterized by vast networks of cyber-physical entities with limited environmental awareness, yet capable of exhibiting emergent collective behaviors. These systems encompass a diverse array of scenarios, ranging from swarm robotics to the interconnectivity in smart cities, as well as the collaboration among augmented humans. The engineering of such systems presents unique challenges, primarily due to their intricate complexity and the spontaneous nature of their collective behaviors. This paper aims to dissect these challenges, offering a clear delineation of potential approaches. We present a comprehensive analysis, shedding light on the intricacies of engineering cyberphysical swarms and discussing modern solutions in engineering collective applications for such systems.

关键词： distributed collective intelligence large-scale IoT collective computing aggregate computing

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Symmetric Coherent Link Degree, Adaptive Throughput-Transmission Power for Wireless sensor Networks

Symmetric Coherent Link Degree, Adaptive Throughput-Transmis...

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

作者： Chantzis, Konstantinos Amaxilatis, Dimitrios Chatzigiannakis, Ioannis Rolim, Jose Ctr Univ Informat Geneva Switzerland Comp Technol Inst & Press CTI Patras Greece Univ Patras GR-26110 Patras Greece

ISBN: (纸本)9781479946181

Topology Control Protocols configure transmission power of nodes in order to achieve specific properties to a given topology. These properties include the creation and maintenance of neighborhoods or other topological entities (like trees or clusters), load balancing in terms of connectivity degrees and provision of link symmetry. We see topology control as a two-fold problem where topological properties can also be affected by local network throughput. We propose SCLD-A2TP, a protocol that operates in a two phase adaptive scheme. First transmission power is adaptively adjusted with low throughput settings and nodes achieve a sufficient degree of symmetric and coherent links. Secondly throughput is maximized insofar as the degree is maintained. We assess various distributed heuristics for SCLD-A2TP via testbed experiments and show that up to an extend, link quality and symmetry as well as degree conformity of links can be regulated successfully by transmission power and adaptive throughput control.

关键词： Adaptive Experimental Evaluation Link Symmetry Reliability Throughput Topology Control Transmission Power power transmission topology control Throughput Self tuning Wireless sensor networks CENTROSYMMETRIC Ganglia

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Adaptive consensus-based distributed Kalman filter for WSNs with random link failures 12

Adaptive consensus-based distributed Kalman filter for WSNs ...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Alonso-Roman, Daniel Beferull-Lozano, Baltasar Univ Agder Dept Informat & Commun Technol N-4879 Grimstad Norway

ISBN: (纸本)9781509014590

Wireless sensor Networks have emerged as a very powerful tool for the monitoring and control, over large areas, of diverse phenomena. One of the most appealing properties of these networks is their potentiality to perform complex tasks in a total distributed fashion, without requiring a central entity. In this scenario, where nodes are constrained to use only local information and communicate with one-hop neighbors, iterative consensus algorithms are extensively used due to their simplicity. In this work, we propose the design of a consensus-based distributed Kalman filter for state estimation, in a sensor network whose connections are subject to random failures. As a result of this unreliability, the agreement value of the consensus process is a random variable. Under these conditions, we ensure that the estimator is unbiased, and adaptively compute the gain of the filter by considering the statistical properties of the consensus process. To the best of our knowledge, this is the first time that the design of a consensus-based distributed Kalman filter is addressed by considering the random error introduced by the consensus process. We present some numerical results that confirm the validity of our approach.

关键词： Bandpass filters

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On the Potential of Data-Based Time Synchronization in Wireless sensor Networks for Condition Monitoring 12

On the Potential of Data-Based Time Synchronization in Wirel...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Haenel, Thomas Krampe, Florian Gericke, Christoph Aschenbrucle, Nils Univ Osnabruck Inst Comp Sci Albrechtstr 28 D-49076 Osnabruck Germany Corp Technology Dev Albert Einstein Str 16 D-12489 Berlin Germany

ISBN: (纸本)9781509014590

On trains, predetermined maintenance of wheels requires significant amounts of resources. Therefore, it is desirable to replace the scheduled maintenance by a condition-based maintenance strategy, where manual maintenance only takes place when it is actually necessary. For a minimally invasive retrofitting of wagons, a system consisting of a Wireless sensor Network (WSN) powered by energy-harvesting offers the most convenient and least costly solution. However, tight time synchronization and high energy efficiency is essential for a successful realization. Established time synchronization techniques for WSNs do not meet the special requirements for this scenario. Looking for an alternative, we noticed that one of the main components of WSNs, the sensor, has been barely exploited for this problem. We will demonstrate the feasibility of using sensor-data-based time synchronization instead of classical message-based synchronization in wireless networks for the example scenario of on-board wheel diameter measurements on trains. In contrast to popular current time synchronization protocols for WSNs, our approach is compatible with every wireless hardware. We perform a simulative evaluation of our approach on various wireless protocols based on message delay distributions measured on Raspberry Pi.

关键词： Wireless sensor Networks Time Synchronization Condition Monitoring Delay Distribution Wheel Diameter Condition Based Maintenance Data-Based Synchronization

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Resilient Self-Calibration in distributed Visual sensor Networks 15

Resilient Self-Calibration in Distributed Visual Sensor Netw...

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

作者： Simonjan, Jennifer Dieber, Bernhard Rinner, Bernhard Alpen Adria Univ Klagenfurt Klagenfurt Austria JOANNEUM RES Graz Austria

ISBN: (纸本)9781728105703

Today, camera networks are pervasively used in smart environments such as intelligent homes, industrial automation or surveillance. These applications often require cameras to be aware of their spatial neighbors or even to operate on a common ground plane. A major concern in the use of sensor networks in general is their robustness and reliability even in the presence of attackers. This paper addresses the challenge of detecting malicious nodes during the calibration phase of camera networks. Such a resilient calibration enables robust and reliable localization results and the elimination of attackers right after the network deployment. Specifically, we consider the problem of identifying subverted nodes which manipulate calibration data and can not be detected by standard cryptographic methods. The experiments in our network show that our self-calibration algorithm enables location-unknown cameras to successfully detect malicious nodes while autonomously calibrating the network.

关键词： Calibration Cameras Wireless sensor networks Reliability Tracking Cryptography

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A Testing Framework for Discovering Vulnerabilities in 6LoWPAN Networks

A Testing Framework for Discovering Vulnerabilities in 6LoWP...

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

作者： Lahmadi, Abdelkader Brandin, Cesar Festor, Olivier Univ Lorraine LORIA F-54506 Vandoeuvre Les Nancy France

ISBN: (纸本)9780769547077

In this work, we present the process of identifying potential vulnerabilities in 6LoWPAN enabled networks through fuzzing. The 6LowPAN protocol has been designed by the IETF as an adaptation layer of IPv6 for Low power and lossy networks. The fuzzing process is build upon the Scapy packets manipulation library. It provides different mutation algorithms to be applied on 6LoWPAN protocol messages to assess its implementations security and robustness. The protocol behaviors are described using an XML format to define different testing scenarios.

关键词： vulnerability discovery fuzzing 6LoWPAN wireless sensor networks

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Bounding distributed Energy Balancing Schemes for WSNs via Modular Subgames 12

Bounding Distributed Energy Balancing Schemes for WSNs via M...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Buwaya, Julia Rolim, Jose Univ Geneva Dept Comp Sci Geneva Switzerland

ISBN: (纸本)9781509014590

This paper studies means of archiving energy balance in Wireless sensor Networks (WSNs) as criterion to increase network lifetime. While protocols for balancing energy through centralized computation have been established, effective solutions for more realistic distributed settings are still an open research field. In this work, we present a novel approach for balancing energy in WSNs in a distributed manner by solving a sequence of modular strategic subgames. In addition, we prove theoretical bounds for its solution quality. To the best of our knowledge, we are the first to explicitly provide theoretical bounds for distributed WSN energy balancing schemes. We do so by formulating two specific routing games in which sensor nodes act as strategic agents with interests in energy balance. The first formulated game is a monotone utility game and by exploiting and adapting some existing results, we can prove a meaningful relative bound for its solution value via our distributed modular subgames scheme under realistic conditions. For the second game we provide an absolute bound. We round up our theoretical results by an experimental evaluation, where our modular subgames scheme shows increased performance compared to state-of-the-art algorithms.

关键词： Energy balance

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Lightweight Software Model for Target Localization in Wireless sensor Networks

Lightweight Software Model for Target Localization in Wirele...

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

作者： Misra, Rajiv Shukla, Shailendra Chandel, Vivek Indian Inst Technol Patna Bihar India

ISBN: (纸本)9780769550411

In this poster, we present a new lightweight multi-threaded software model for target location detection system. Our localization algorithm is based on trilateration using RSSI for ranging. This work can be applied for collecting the location information of mobile sensor nodes in the network. Our software runs on the sensor nodes and on the base station. To support our clam we performed experimental analysis on telosb motes.

关键词： Localization RSSI Trilateration Software Model Wireless sensor Networks Tracking Experimentation

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Real-time distributed Visual Feature Extraction from Video in sensor Networks

Real-time Distributed Visual Feature Extraction from Video i...

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

作者： Eriksson, Emil Dan, Gyorgy Fodor, Viktoria KTH Royal Inst Technol Sch Elect Engn Stockholm Sweden

ISBN: (纸本)9781479946181

Enabling visual sensor networks to perform visual analysis tasks in real-time is challenging due to the computational complexity of detecting and extracting visual features. A promising approach to address this challenge is to distribute the detection and the extraction of local features among the sensor nodes, in which case the time to complete the visual analysis of an image is a function of the number of features found and of the distribution of the features in the image. In this paper we formulate the minimization of the time needed to complete the distributed visual analysis for a video sequence subject to a mean average precision requirement as a stochastic optimization problem. We propose a solution based on two composite predictors that reconstruct randomly missing data, and use a quantile-based linear approximation of the feature distribution and time series analysis methods. The composite predictors allow us to compute an approximate optimal solution through linear programming. We use two surveillance videos to evaluate the proposed algorithms, and show that prediction is essential for controlling the completion time. The results show that the last value predictor together with regular quantile-based distribution approximation provide a low complexity solution with very good performance.

关键词： Image analysis wireless sensor networks

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Feature Extraction in Densely Sensed Environments

Feature Extraction in Densely Sensed Environments

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

作者： Vahabi, Maryam Gupta, Vikram Albano, Michele Tovar, Eduardo Polytech Inst Porto ISEP CISTER INESC TEC Oporto Portugal Carnegie Mellon Univ Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9781479946181

With the reduction in size and cost of sensor nodes, dense sensor networks are becoming more popular in a wide-range of applications. Many such applications with dense deployments are geared towards finding various patterns or features such as peaks, boundaries and shapes in the spread of sensed physical quantities over an area. However, collecting all the data from individual sensor nodes can be impractical both in terms of timing requirements and the overall resource consumption. Hence, it is imperative to devise distributed information processing techniques that can help in identifying such features with a high accuracy and within certain time constraints. In this paper, we exploit the prioritized channel-access mechanism of dominance-based Medium Access Control (MAC) protocols to efficiently obtain exterma of the sensed quantities. We show how by the use of simple transforms that sensor nodes employ on local data it is also possible to efficiently extract certain features such as local extrema and boundaries of events. Using these transformations, we show through extensive evaluations that our proposed technique is fast and efficient at retrieving only sensor data point with the most constructive information, independent of the number of sensor nodes in the network.

关键词： Feature extraction Time constraints Ganglia network node sensors Resource utilization sensor Data Boundary value problems Grain boundaries boundary layer

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