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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

共 1159 条记录，以下是291-300 订阅

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Optimizing Router Nodes Placement for Designing distributed sensor Networks

Optimizing Router Nodes Placement for Designing Distributed ...

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

作者： Mozumdar, Mohammad Ganesan, Arun Daragheh, Alireza Ameri Calif State Univ Long Beach Dept Elect Engn Long Beach CA 90840 USA

ISBN: (纸本)9781479946181

Designing a distributed wireless sensor network can be a difficult effort without using simulation tools. These tools should provide a robust and efficient solution for the problem with quick response time. However, available simulation tools for designing wireless sensor networks are very limited. Authors in [1] proposed an interactive design tool based on Dijkstra's algorithm which can assist rapid design of sensor network. However, it has a very high execution time when the network size is relatively large, i.e. n >= 50. Moreover, it produces a suboptimal solution with large number of router nodes. In this paper, we present efficient and robust synthesis algorithms which exclusively reduce run time for large networks as much as 1000% and also produce a synthesized network with a reduced number of router nodes as much as 150% in comparison to similar previous works.

关键词： wireless sensor network router placement synthesis algorithm

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Capturing Semantics of Energy Meter

Capturing Semantics of Energy Meter

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

作者： Dasgupta, Ranjan Dey, Sounak Basu, Anupam Tata Consultancy Serv Ltd Innovat Lab Kolkata India Indian Inst Technol Dept Comp Sci Kharagpur 721302 W Bengal India

ISBN: (纸本)9781479946181

Numerous sensors are involved in sensing almost everything around us in a cyber-physical system. They generate heterogeneous data which are diverse in format and protocol. Prevailing standards formally define sensor data encodings and provide syntactic interoperability but failed to provide semantic capability required for searching, reasoning, querying on sensors and their observations. The paper extends ieee SUMO and Ontosensor to create an ontological structure that captures various sensor concepts and their relationships. It logically classifies sensor information into four major sensor knowledge representation (1) hierarchy (2) data (3) function and (4) data exchange. The proposed sensor ontology has been extended for energy meter as an energy sensor. The represented semantic can be captured through Protege 4.3.0 and subsequently by OWL-XML. Reasoning on the sensor data can be carried out using SWRL.

关键词： Taxonomy Knowledge Representation Syntactic Semantic Interoperability Concept Relationship Ontology CPS IoT ieee SUMO Ontosensor sensorML

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Cooperative Modulation Diversity Applied to Heterogeneous Wireless sensor Networks

Cooperative Modulation Diversity Applied to Heterogeneous Wi...

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

作者： Sousa, Marcelo Portela Araujo Lopes, Waslon Terllizzie Madeiro, Francisco Alencar, Marcelo S. Fed Inst Paraiba IFPB Campina Grande PB Brazil Inst Adv Studies Commun Iecom Campina Grande PB Brazil Fed Univ Campina Grande UFCG Campina Grande PB Brazil Univ Pernambuco Polytech Sch Pernambuco Recife PE Brazil

ISBN: (纸本)9781479946181

The technology of Wireless sensor Networks (WSNs) has been applied to automatic monitoring systems, and used in a wide variety of environments. In this paper, the authors evaluate the performance of a cooperative technique, applied to heterogeneous WSNs. The main contribution is the analysis of the impacts between the energy factor, the channel Signal-to-Noise Ratio (SNR) and the packet loss rate. The analysis also considers the energy consumption aspect. The cooperative modulation diversity performance is evaluated for different propagation scenarios and for two values of interleaving depth (K). A large value for K, leads the network to present lower values of packet lost rate. Some limiting conditions are obtained and the retransmission algorithm is discussed.

关键词： Wireless sensor networks energy factor signal to noise ratios Potassium automatic monitoring

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Dimensioning of Wireless sensor and Actuator Networks for Guaranteed Delivery Time

Dimensioning of Wireless Sensor and Actuator Networks for Gu...

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

作者： Suriyachai, Petcharat Prince Songkla Univ Fac Engn Dept Comp Engn Hat Yai Thailand

ISBN: (纸本)9781479946181

Wireless sensor and actuator network (WSAN) applications are used in many critical scenarios. For instance, upon receiving an over-threshold pressure value, the control station of a gas separation plant issues a command to corresponding actuators to close gas valves to prevent a fire accident. In such control-loop systems, messages must be transported reliably within a tight deadline. This paper presents two components: a new network dimensioning method and a simple MAC protocol, to support control-loop systems in WSANs. The dimensioning method is used to specify the worst-case network topology, traffic and node forwarding rates prior to a network deployment. The MAC protocol is designed to ensure that the specifications and design assumptions are not violated in a subsequent deployment. The experimental evaluation clearly indicates that messages are delivered within the guaranteed delay bound.

关键词： Medium Access Control (MAC) Protocol Network Dimensioning Performance Control Quality of Services Time-critical Applications Wireless sensor Networks Wireless sensor and Actuator Networks Quality of service DIMENSIONING Wireless sensor networks MAC protocol Methotrexate-Actinomycin-Chlorambucil Regimen actuators control ring control station Messages delivery date wireless

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On Properties of Quantized Consensus in Layered sensor Networks

On Properties of Quantized Consensus in Layered Sensor Netwo...

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

作者： Sheth, Vardhman Wan, Yan Xie, Junfei Fu, Shengli Lin, Zongli Das, Sajal K. Univ N Texas Dept Elect Engn Denton TX 76203 USA Univ Virginia Dept Elect & Comp Engn Charlottesville VA 22904 USA Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA

ISBN: (纸本)9781479946181

In this paper, we study properties of distributed consensus in layered sensor networks of the multi-layer multi-group (MLMG) structure. We show that properly designed MLMG networks maintain decentralized communication, whereas show the advantage of centralized structures. In particular, they require less number of transmissions required to reach consensus. This feature is critical for efficient distributed computing in large-scale sensor network applications. For typical classes of MLMG networks, we mathematically characterize the reduced number of transmissions compared to equivalent egalitarian decentralized structures of the same consensus dynamics. This explicit characterization based on simple graphical characteristics of MLMG structures permits an efficient design of large-scale network structures to meet desired performance requirements. In addition, we characterize the asymptotic and transient properties of consensus in MLMG networks of limited channel rates, using the probabilistic quantization schemes.

关键词： distributed Con

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Decentralizing and Adding Portability to an IoT Test-bed through Smartphones

Decentralizing and Adding Portability to an IoT Test-bed thr...

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

作者： Nikoletseas, Sotiris Rapti, Maria Raptis, Theofanis P. Veroutis, Konstantinos Univ Patras Dept Comp Engn & Informat GR-26110 Patras Greece Comp Technol Inst & Press Diophantus CTI Patras Greece

ISBN: (纸本)9781479946181

In this work, we develop an IPv6 enabled smart building test-bed facility, by combining sensing and communication devices and functionalities. We address the Internet of Things paradigm by using diverse heterogeneous devices such as smartphones, sensor motes, NFC technology and traditional electrical devices, each one serving a specific role in the test-bed facility. Also, we extend a basic actuation component by making it self-aware, in terms of supported resources. Those enhancements allow us to enrich the test-bed's capabilities in terms of M2M communication, portability and decentralization of the actuation process. Finally, we provide a simple smart room scenario for a tunable combination of energy efficiency and comfort, which automatically adjusts the room's light level based on ambient conditions and user preferences and demonstrate the feasibility of our system.

关键词： Deployment Emerging wireless technologies Smartphones Test-beds Wireless sensor Networks Smartphone deployment Wireless sensor networks Portability communication equipment User preferences IPv6 decentralization

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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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Modelling and Performance Analysis of Wireless sensor Networks Using Process Mining Techniques: ContikiMAC use case

Modelling and Performance Analysis of Wireless Sensor Networ...

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

作者： Despaux, Francois Song, Ye-Qiong Lahmadi, Abdelkader Univ Lorraine LORIA F-54500 Vandoeuvre Les Nancy France

ISBN: (纸本)9781479946181

In the current protocol stack for Internet of Things in general and wireless sensor network in particular, many devices rely on the ContikiMAC protocol at their MAC layer. This protocol is widely used and enabled by default for several industrial environments and time sensitive monitoring and control applications. However, few work exists regarding the performance of this protocol because it lacks of an underlying theoretical model for analysing its performance. In this paper, we propose a novel approach relying on process mining technique that aims to obtain a Markov chain model for networks running the ContikiMAC protocol. In particular, we present a comprehensive specification of the protocol and a Markov chain model obtained through the analysis and instrumentation of its reference implementation. We used the obtained Markov chain to analyze and estimate the end to end delay distribution for a multi-hops transmission with static routing. The approach can also be extended to a wide range of protocols.

关键词： MAC Protocols Markov chain Process Mining Network performance

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A Comparison of On-Mote Lossy Compression Algorithms for Wireless Seismic Data Acquisition

A Comparison of On-Mote Lossy Compression Algorithms for Wir...

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

作者： Rubin, Marc J. Wakin, Michael B. Camp, Tracy Colorado Sch Mines Dept Elect Engn & Comp Sci Golden CO 80401 USA

ISBN: (纸本)9781479946181

In this article, we rigorously compare compressive sampling (CS) to four state of the art, on-mote, lossy compression algorithms (K-run-length encoding (KRLE), lightweight temporal compression (LTC), wavelet quantization thresholding and run-length encoding (WQTR), and a low-pass filtered fast Fourier transform (FFT)). Specifically, we first simulate lossy compression on two real-world seismic data sets, and we then evaluate algorithm performance using implementations on real hardware. In terms of compression rates, recovered signal error, power consumption, and classification accuracy of a seismic event detection task (on decompressed signals), results show that CS performs comparable to (and in many cases better than) the other algorithms evaluated. The main benefit to users is that CS, a lightweight and non-adaptive compression technique, can guarantee a desired level of compression performance (and thus, radio usage and power consumption) without subjugating recovered signal quality. Our contribution is a novel and rigorous comparison of five state of the art, on-mote, lossy compression algorithms in simulation on real-world data sets and implemented on hardware.

关键词： compressive sampling compressive sensing lossy compression seismic wireless sensor networks lossy compression Compressed sensing Earthquakes Wireless sensor networks state of the art seismic data acquisition Dataset compression ratio

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