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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 1161 条记录，以下是401-410 订阅

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Syndesi: A Framework for Creating Personalized Smart Environments using Wireless sensor Networks

Syndesi: A Framework for Creating Personalized Smart Environ...

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

作者： Evangelatos, Orestis Samarasinghe, Kasun Rolim, Jose Univ Geneva Dept Comp Sci CH-1211 Geneva 4 Switzerland

ISBN: (纸本)9780769550411

Smart environments are places where different kind of embedded devices are interconnected in order to provide their occupants intelligent services improving their comfort and convenience. These smart environments are seen to be important for the future urban ecosystems in terms of user friendliness, quality of life, energy efficiency and sustainability. Lately such environments have become economically and technologically feasible due to the advancements in embedded and distributed technologies. Most of the novel infrastructures adopt smart technologies, while old infrastructures need a transition towards smart environments. Even though different technologies and devices are available, there is a need for an appropriate methodology and a system architecture for a smooth and profitable transition towards smart environments. In this paper we present a framework for creating personalized smart environments using wireless sensor networks. This framework, among other services that it provides, is able to identify people and take personalized actions such as control electrical devices based on their preferences and needs. We present, as a proof of concept, a real world deployment where two scenarios are implemented in two office premises.

关键词： Wireless sensor Networks Smart Environments Internet of Things Personal Awareness distributed systems

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T-Res: enabling reconfigurable in-network processing in IoT-based WSNs

T-Res: enabling reconfigurable in-network processing in IoT-...

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

作者： Alessandrelli, Daniele Petracca, Matteo Pagano, Paolo Consorzio Nazl Interuniv Telecomunicaz Natl Lab Photon Networks Pisa Italy

ISBN: (纸本)9780769550411

Internet of Things (IoT) standards are a key technology for enabling multi-purpose Wireless sensor Networks (WSNs). Indeed, by providing a common interface for interacting with sensor nodes, they help decouple the sensing infrastructure from the applications running on top of it. To this end, much work has been done to define the semantics for controlling sensors and actuators. On the contrary, a solution for manipulating the in-network processing performed by an IoT-based WSN is still undefined. As a result, IoT applications usually run "out-of-the-network", e. g., in high-end application servers or in the Cloud. This paper addresses such a limitation by proposing T-Res, a new programming abstraction for IoT-based WSNs. The proposed solution allows using IoT protocols for changing the data-processing performed by sensor nodes and the interaction among them, thus enabling "in-network" applications. To prove the feasibility of T-Res, a real implementation based on Contiki OS is presented and evaluated. Evaluation results show that the use of T-Res, compared with the traditional "out-of-network" approach, lowers the risk of network congestion, reduces the power consumption, and can improve application response time.

关键词： Internet of Things cloud computing network servers operating systems (computers) protocols wireless sensor networks

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Adaptive ieee 802.15.4 MAC for Throughput and Energy Optimization

Adaptive IEEE 802.15.4 MAC for Throughput and Energy Optimiz...

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

作者： Abdeddaim, Nazim Theoleyre, Fabrice Heusse, Martin Duda, Andrzej CNRS Grenoble Informat Lab UMR 5217 Grenoble Inst Technol Grenoble France

ISBN: (纸本)9780769550411

ieee 802.15.4 defines a popular MAC standard for wireless sensor and actuator networks. With the default parameters, under medium to high load, 802.15.4 generates excessive collisions and packet losses. Low duty cycles even exacerbate the problem, because more nodes become active after long periods of sleep and contend for channel access. In this paper, we have applied the models that led to the Idle Sense access method for 802.11 to the 802.15.4 slotted CSMA/CA, taking into account the central role of the coordinator and also the bursty nature of the traffic. Surprisingly, the approach perfectly applies to 802.15.4 even if the principles of the two access methods fundamentally differ. Based on the model, we propose ABE, an adaptation method that adjusts the contention window to optimal values so that the network obtains high throughput along with low duty cycles leading to low energy consumption. The method converges to near-optimal backoff values even under bursty traffic and for any number of contending nodes.

关键词： ieee 802.15.4 access method adaptation low duty cycle optimal throughput

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Dynamic Reconfiguration of Wireless sensor Networks to Support Heterogeneous Applications

Dynamic Reconfiguration of Wireless Sensor Networks to Suppo...

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

作者： Szczodrak, Marcin Gnawali, Omprakash Carloni, Luca P. Columbia Univ New York NY 10027 USA

ISBN: (纸本)9780769550411

As larger numbers of Wireless sensor Network (WSN) applications get deployed in our homes and offices, it is desirable to use the same network to run different applications. We present and analyze the problem of scheduling and supporting the execution of multiple heterogeneous applications on top of the same WSN. first, we establish that using the same MAC or network protocol is not sufficient to obtain acceptable performance across a set of applications that require different types of communication services from the protocol stack (e.g., low-rate reliable many-to-one collection vs point-to-point low-latency bulk-data streaming). Hence, we propose a framework to dynamically reconfigure the WSN and adapt its power consumption, transmission reliability, and data throughput to the different requirements of the applications. The framework makes it possible to specify, at design time, distinct network, MAC and radio protocols for each application as well as the events and policies triggering the WSN reconfigurations. At run-time, the WSN automatically reconfigures itself in response to these events and according to these policies. Through experiments on a 119-node testbed, we show that the proposed approach can reconfigure the whole network in few hundreds of milliseconds while incurring little memory and control overhead.

关键词： access protocols scheduling telecommunication network reliability wireless sensor networks

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Application Communication Reliability of Wireless sensor Networks Supporting K-coverage

Application Communication Reliability of Wireless Sensor Net...

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

作者： Zonouz, Amir Ehsani Xing, Liudong Vokkarane, Vinod M. Sun, Yan (Lindsay) SE Massachusetts Univ Coll Engn Dartmouth MA 02747 USA

ISBN: (纸本)9780769550411

Application communication in wireless sensor networks (WSN) depends on two important factors: acquisition of sensed data from a specific area, and network connectivity that concerns the reliable delivery of the observed data from sensor nodes to the sink node. In this paper, we consider the application communication reliability (ACR) of WSN supporting K-coverage in the presence of shadowing for a specific monitored area. The analytical evaluation of ACR involves two steps. We first identify all the K-coverage sets. Then, we evaluate the communication reliability of delivering the observed data from sensor nodes within the identified K-coverage sets to the sink node. Two single-path routing algorithms, shortest-path distance algorithm and shortest-path hop algorithm, are considered for evaluating the communication reliability during the second step;their performances in terms of ACR and energy consumptions are compared through an empirical analysis of several examples. Different scenarios are considered to evaluate the impact of node density, channel condition and different monitored areas on ACR. Simulation and analytical results show that WSN using the shortest-path distance algorithm is more reliable than that using the shortest-path hop algorithm in most cases, but WSN using the shortest-path hop algorithm consumes less energy for delivering the sensed data to the sink node.

关键词： Wireless sensor network application communication reliability K-coverage energy consumption shadowing effects

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distributed Spatiotemporal Suppression for Environmental Data Collection in Real-World sensor Networks

Distributed Spatiotemporal Suppression for Environmental Dat...

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

作者： Evans, William C. Bahr, Alexander Martinoli, Alcherio Ecole Polytech Fed Lausanne Distributed Intelligent Syst & Algorithms Lab Lausanne Switzerland

ISBN: (纸本)9780769550411

Environmental processes are often severely over-sampled. As sensor networks become more ubiquitous for this purpose, increasing network longevity becomes ever more important. Radio transceivers in particular are a great source of energy consumption, and many networking algorithms have been proposed that seek to minimize their use. Traditionally, such approaches are often data agnostic, i.e., their performance is not dependent on the properties of the data they transport. In this paper we explore algorithms that exploit environmental relationships in order to reduce the amount of transmitted data while maintaining expected levels of accuracy. We employ a realistic testing environment for evaluating the power savings brought by such algorithms, based on sensorscope, a commercial sensor network product for environmental monitoring. We implement and test a suppression-based data collection algorithm from literature that to our knowledge has never been implemented on a real system, and propose modifications that make it more suitable for real-world conditions. Using a custom extension board developed for in situ power monitoring, we show that while the algorithms greatly reduce the amount of energy spent on transmitting packets, they have no effect on the real system's overall power consumption due to its preexisting network architecture.

关键词： environmental monitoring (geophysics) power consumption power measurement radio transceivers spatiotemporal phenomena telecommunication power management wireless sensor networks

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The Problem Bit

The Problem Bit

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

作者： Keller, Matthias Beutel, Jan Thiele, Lothar Swiss Fed Inst Technol Comp Engn & Networks Lab Zurich Switzerland

ISBN: (纸本)9780769550411

Health monitoring is an integral service for the long-term operation of wireless sensor networks. Instead of actively adding probe or status traffic, recently proposed passive health monitoring systems infer system health solely from existing application traffic. Our results from extensive testbed experiments prove that the detection rate of an exemplary monitoring application is significantly improved, i.e., by up to 28% to overall 94%, when a passive health estimation method is complemented with a minimally active component. This paper presents Hybrid Monitoring, a novel health monitoring system that combines the advantages of passive and active health monitoring systems. Results from the analysis of passively reconstructed, inexact per-hop timing information are significantly improved when one bit of extra information is added to every packet. The resulting system is able to estimate a significant health metric, i.e., the number of occurred failure events on a node, with a high confidence. The temporal resolution of the estimated signal is equal to the packet sampling interval, the performance of our system is not affected by large packet delays, e.g., when a sensor node is disconnected for a long time.

关键词： biomedical communication patient care patient monitoring wireless sensor networks

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Coordinates Determination of Submerged sensors Using Cayley-Menger Determinant

Coordinates Determination of Submerged Sensors Using Cayley-...

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

作者： Rahman, Anisur Muthukkumarasamy, Vallipuram Sithirasenan, Elankayer Sch. of Inf. &amp Commun. Technol. Griffith Univ. Gold Coast QLD Australia|c|

ISBN: (纸本)9780769550411

This paper investigates the problem of localizing submerged sensors and provides a new mechanism to determine the coordinates of those sensors using only one beacon node. In underwater wireless sensor networks (UWSN), precise coordinate of the sensors that actuate or collect data is vital, as data without the knowledge of its actual origin has limited value. Mostly, multilateration technique is used to determine the location of the sensors with respect to three or more known beacon nodes where distance between them is measured considering the roundtrip time of acoustic signal. However, this method of measuring distances gives erroneous results due to a number of factors, including relative angular stand of the nodes. In this study, a new method of determining the underwater distances between beacon and sensor nodes has been presented using combined radio and acoustic signals, which has better immunity from multipath fading. Moreover, Cayley-Menger determinant is used to determine the coordinates of the nodes where none of nodes have a priori knowledge about its location. Simulation results validate the proposed mathematical models by computing coordinates of sensor nodes with negligible errors.

关键词： localization Cayley-Menger determinant underwater wireless sensor networks linearization

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An Application-specific Forecasting Algorithm for Extending WSN Lifetime

An Application-specific Forecasting Algorithm for Extending ...

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

作者： Aderohunmu, Femi A. Paci, Giacomo Brunelli, Davide Deng, Jeremiah D. Benini, Luca Purvis, Martin Univ Otago Dept Informat Sci Dunedin New Zealand

ISBN: (纸本)9780769550411

Data reduction strategy is one of the schemes employed to extend network lifetime. In this paper we present an implementation of a light-weight forecasting algorithm for sensed data which saves packet transmission in the network. The proposed Naive algorithm achieves high energy savings with a limited computational overhead on a node. Simulation results from realistic Building monitoring application of WSN are compared with well-known prediction algorithms such as ARIMA, LMS and WMA models. We implemented a real-world deployment using 32bit mote-class device. Overall, up to 96% transmission reduction is achieved using our Naive method, while still able to maintain a considerable level of accuracy at 0.5 degrees C error bound and it is comparable in performance to the more complex models such as ARIMA, LMS and WMA.

关键词： data reduction wireless sensor networks

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distributed Algorithm to Improve Coverage for Mobile Swarms of sensors

Distributed Algorithm to Improve Coverage for Mobile Swarms ...

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

作者： Loscri, Valeria Natalizio, Enrico Razafindralambo, Tahiry Mitton, Nathalie Univ Calabria DEIS I-87036 Cosenza Italy

ISBN: (纸本)9780769550411

In this paper we focus on the problem of dynamic event coverage. We assume that no knowledge about either event position or duration is given a priori. Nonetheless, the events need to be monitored and covered thanks to mobile wireless sensors. Thus, mobile sensors have to discover the events and move towards a new Zone of Interest (ZoI) when the previous monitored event is over. An efficient, distributed and localized solution of this problem would be immediately exploitable by several applications domains, such as environmental, civil, etc. We propose two novel approaches to deal with dynamic event coverage. The first one is a modified version of the PSO, where particles (mobile sensors, nodes or devices in the following) update their velocity by using only local information coming from their neighbors. In practice, the velocity update is performed by considering neighbors' sensed events. Our distributed version of PSO is integrated with a distributed version of the Virtual Force Algorithm (VFA). Virtual Force approach has the ability to "position" nodes with no overlap, by using attractive and repulsive forces based on the distance between nodes. The other proposed algorithm is a distributed implementation of the VFA by itself. Both techniques are able to reach high levels of coverage and show a satisfying reactivity when the ZoI changes. This output parameter is measured as the capability for the sensors to "follow" a sequence of events happening in different ZoIs. The effectiveness of our techniques is shown through a series of simulations and comparisons with the classical centralized VFA.

关键词： Wireless sensors Networks Particle Swarm Optimization Virtual Forces Zone of Interest Swarm Intelligence

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