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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251-260 订阅

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Optimal Power Management With Guaranteed Minimum Energy Utilization For Solar Energy Harvesting systems 11

Optimal Power Management With Guaranteed Minimum Energy Util...

引用

ieee international conference on distributed computing in sensor systems dcoss

作者： Buchli, Bernhard Kumar, Pratyush Thiele, Lothar ETH Comp Engn & Networks Lab Zurich Switzerland

ISBN: (纸本)9781479988563

In this work we present the first formal study on optimizing the energy utilization of energy harvesting embedded systems while giving bounds on the minimum energy usage. Furthermore, to deal with the uncertainty inherent to solar energy harvesting we propose to use (i) a finite horizon scheme, and (ii) a non-uniformly scaled energy estimation based on an astronomical model. Under certain realistic assumptions, the finite horizon scheme can provide guarantees on minimum energy utilization, and therefore minimum utility. We show that a single non-uniform scaling function is applicable to solar energy traces from diverse locations. We further propose and evaluate a piece-wise linear approximation for efficient implementation as a small look-up table for resource constrained embedded systems. With extensive experimental evaluation for eight publicly available datasets and two datasets collected with our own deployments, we quantitatively establish that the proposed solution is highly effective at providing a guaranteed minimum utilization, and significantly out-performs four previously proposed solutions.

关键词： Dynamic Power Management Energy Harvesting Performance Guarantee WSN energy harvesting Wireless sensor networks WSN gene energy utilisation Solar Energy Piecewise linear approximation Embedded systems

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Getting Virtualized Wireless sensor Networks' IaaS Ready for PaaS 11

Getting Virtualized Wireless Sensor Networks' IaaS Ready for...

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ieee international conference on distributed computing in sensor systems dcoss

作者： Khan, Imran Errounda, Fatima Zahra Yangui, Sami Glitho, Roch Crespi, Noel Telecom SudParis Inst Mines Telecom F-91011 Evry France Concordia Univ Dept CIISE Montreal PQ H3G 2W1 Canada

ISBN: (纸本)9781479988563

With the recent advances in sensor hardware and software, architectures for virtualized Wireless sensor Networks (vWSNs) are now emerging. Through node-and network-level virtualization, vWSNs can be offered as Infrastructure-as-a-Service (IaaS) which can aid in realizing the true potential of Internet-of-Things (IoT). Cloud computing offers elastic provisioning of large-scale infrastructures to multiple concurrent users where Platform-as-a-Service (PaaS) interacts with IaaS in order to efficiently host and execute applications over these infrastructures. Amalgamating IoT with cloud computing potentially allows rapid application and service provisioning in an efficient, scalable and robust manner. However, interactions between vWSNs and PaaS are largely an unexplored area. Indeed, existing vWSN IaaS are not yet ready for PaaS. This paper proposes a vWSN IaaS architecture which is ready for interactions with PaaS. The proposed architecture is based on our previous works and is rooted in the fundamental differences between traditional IaaS and vWSN IaaS. We built a prototype using Java Sunspot as the WSN tool kit and made early performance measurements.

关键词： Wireless sensor Networks Internet of Things Cloud computing Virtualization IaaS PaaS

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Load-Balanced Data Collection through Opportunistic Routing 11

Load-Balanced Data Collection through Opportunistic Routing

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ieee international conference on distributed computing in sensor systems dcoss

作者： Michel, Mathieu Duquennoy, Simon Quoitin, Bruno Voigt, Thiemo Univ Mons Dept Comp Sci B-7000 Mons Belgium SICS Swedish ICT AB Kista Sweden Uppsala Univ Uppsala Sweden

ISBN: (纸本)9781479988563

Wireless sensor Networks performing low-power data collection often suffer from uneven load distribution among nodes. Nodes close to the network root typically face a higher load, see their battery deplete first, and become prematurely unable to operate (both sensing and relaying other nodes' data). We argue that opportunistic routing, by making forwarding decision on a per-packet basis and at the receiver rather than the sender, has the potential to better balance the load across nodes. We extend ORPL, an opportunistic version of the standard routing protocol RPL, with support for load-balancing. In our protocol, ORPL-LB, nodes continuously adapt their wake-up interval in order to adjust their availability and attain a deployment-specific target duty cycle. We implement our protocol in Contiki and present our experimental validation in Indriya, a 93-nodes testbed. Our results show that ORPL-LB reduces significantly (by approximately 40%) the worst node's duty cycle, with little or no impact on packet delivery ratio and latency.

关键词： ORPL duty cycle load balancing network lifetime Load balancing DUTY CYCLE Data Collection Methods Ganglia Network routing protocols Wireless sensor networks

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sensor Node to Improve Resiliency and Monitoring in Smart Grids: Taking the Lab to Field in Industry 11

Sensor Node to Improve Resiliency and Monitoring in Smart Gr...

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ieee international conference on distributed computing in sensor systems dcoss

作者： Russell, Luke Goubran, Rafik Kwamena, Felix Carleton Univ Syst & Comp Engn Ottawa ON Canada Carleton Univ Engn & Design Ottawa ON Canada

ISBN: (纸本)9781479988563

sensors and data analytics have a tremendous potential to improve the resilience of the electricity system. Improving the analytics in a smart grid, and providing information to operators so that problems can be resolved quickly, may serve to improve the resiliency of the electricity system. Effective use of sensors and analytics will enable more timely a response, and more efficient use of personnel, specialty equipment, and site location specifics because of better information for deployment teams to address damage. Detection of physical characteristics such as vibration, ice buildup, hot spots, aging and deterioration of assets/equipment, metal fatigue and other considerations could prevent disruptions. In cold climates, ice storms can cause outages, and extreme weather events are constantly a threat to electricity towers. A system was developed to collect information from sensors, as well as relevant analytics to detect abnormalities to address damage, and for operator visualizations screens.

关键词： Microcontrollers smart grid accelerometer magnetometer

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The Price of Incorrectly Aggregating Coverage Values in sensor Selection 11

The Price of Incorrectly Aggregating Coverage Values in Sens...

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ieee international conference on distributed computing in sensor systems dcoss

作者： Bar-Noy, Amotz Johnson, Matthew P. Naghibolhosseini, Nooreddin Rawitz, Dror Shamoun, Simon Brooklyn Coll Brooklyn NY 11210 USA CUNY Grad Ctr New York NY USA Lehman Coll Bronx NY USA Bar Ilan Univ IL-52100 Ramat Gan Israel

ISBN: (纸本)9781479988563

An important problem in the study of sensor networks is how to select a set of sensors that maximizes coverage of other sensors. Given pairwise coverage values, three commonly found functions give some estimate of the aggregate coverage possible by a set of sensors: maximum coverage by any selected sensor (MAX), total coverage by all selected sensors (SUM), and the probability of correct prediction by at least one sensor (PROB). MAX and SUM are two extremes of possible coverage, while PROB, based on an independence assumption, is in the middle. This paper addresses the following question: what guarantees can be made of coverage that is evaluated by an unknown sub-modular function of coverage when sensors are selected according to MAX, SUM, or PROB? We prove that the guarantees are very bad: In the worst case, coverage differs by a factor of sqrt(n), where n is the number of sensors. We show in simulations on synthetic and real data that the differences can be quite high as well. We show how to potentially address this problem using a hybrid of the coverage functions.

关键词： Coverage sensors Probability MAX gene solidification

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PREED: Packet REcovery by Exploiting the Determinism in Industrial WSN Communication 11

PREED: Packet REcovery by Exploiting the Determinism in Indu...

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ieee international conference on distributed computing in sensor systems dcoss

作者： Barac, Filip Gidlund, Mikael Zhang, Tingting Mid Sweden Univ S-85170 Sundsvall Sweden

ISBN: (纸本)9781479988563

The requirements of safety-critical wireless sensor network (WSN) applications, such as closed-loop control and traffic safety, cannot be met by the ieee 802.15.4-2006 standard nor its industrial WSN (IWSN) derivatives. The main problem in that respect is the communication reliability, which is seriously compromised by 2.4-GHz interference, as well as multipath fading and attenuation (MFA) at industrial facilities. Meanwhile, communication blackouts in critical WSN applications may lead to devastating consequences, including production halts, damage to production assets and can pose a threat to safety of human personnel. This work presents PREED, a method to improve the reliability by exploiting the determinism in IWSN communication. The proposed solution is based on the analysis of bit error traces collected in real transmissions at four different industrial environments. A case study on WirelessHART packet format shows that PREED recovers 42%-134% more packets than the competing approaches on links compromised by WLAN interference. In addition, PREED reduces one of the most trivial causes of packet loss in IWSN, i.e. the corruption of frame length byte, by 88% and 99%, for links exposed to WLAN interference and MFA, respectively.

关键词： IWSN ieee 802.15.4 packet recovery error mitigation FEC interleaving WirelessHART

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Ensuring high performance of consensus-based estimation by lifetime maximization in WSNs 11

Ensuring high performance of consensus-based estimation by l...

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ieee international conference on distributed computing in sensor systems dcoss

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

ISBN: (纸本)9781479988563

The estimation of a parameter corrupted by noise is a common tasks in wireless sensor networks, where the deployed nodes cooperate in order to improve their own inaccurate observations. This cooperation usually involves successive data exchanges and local information updates until a global consensus value is reached. The quality of the final estimator depends on the amount of collected observations, hence the number of active nodes. Moreover, the inherent iterative nature of the consensus process involves a certain energy consumption. Since the devices composing the network are usually battery powered, nodes becoming inactive due to battery depletion emerges as a serious problem. In this work, we aim to maximize the lifetime of the most energy demanding nodes, such that the quality of the global estimator is maintained above a certain threshold. To this end, we optimize the network topology considering both the duration of each consensus process, given by the algebraic connectivity of the network, and the power consumption per iteration of the most demanding nodes. Numerical results are provided to demonstrate the validity and efficiency of our methodology.

关键词： WSN consensus distributed estimation topology optimization Wireless sensor networks WSN gene Topology optimization HIGH-PERFORMANCE Ganglia data exchange Power consumption local information.

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Estimating Low-power Radio Signal Attenuation in Forests: A LiDAR-based Approach 11

Estimating Low-power Radio Signal Attenuation in Forests: A ...

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ieee international conference on distributed computing in sensor systems dcoss

作者： Demetri, Silvia Picco, Gian Pietro Bruzzone, Lorenzo Univ Trento Dept Informat Engn & Comp Sci DISI Trento Italy

ISBN: (纸本)9781479988563

Wireless sensor networks offer unprecedented opportunities to monitor natural ecosystems. However, despite the growing number of applications (e.g., forest fire detection, wildlife monitoring), the deployment challenges posed by the real-world natural environment still hinder the widespread adoption of this technology. In particular, the unpredictability of the low-power wireless channel in the presence of vegetation requires costly trial-and-error pilot campaigns to understand where and how to place the wireless nodes. In this paper, we propose a technique based on remote sensing for accurately estimating low-power radio signal attenuation in forest environments. We leverage airborne Light Detection and Ranging (LiDAR) instruments and related automatic data analysis systems to determine local forest attributes (e.g., tree density) that, once factored into a specialized radio path loss model, enable accurate estimation of the received signal power. Our approach is i) automatic, i.e., it does not require in-field campaigns, and ii) fine-grained, i.e., it enables per-link estimates. Our validation from deployments in a real forest shows that the error of our per-link estimates of the received signal power is around +/- 6 dBm-the accuracy of RSSI readings from the radio transceiver.

关键词： Low-power wireless communication wireless sensor networks remote sensing LiDAR ieee 802.15.4

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Decentralized energy and power estimation in solar-powered wireless sensor networks 11

Decentralized energy and power estimation in solar-powered w...

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11th ieee international conference on distributed computing in sensor systems, dcoss 2015

作者： Dehwah, Ahmad H. Taieb, Souhaib Ben Shamma, Jeff S. Claudel, Christian G. King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia University of Texas at Austin AustinTX78712 United States

ISBN: (纸本)9781479988563

Solar powered wireless sensor networks are very adapted to smart city applications, since they can operate for extended durations with minimal installation costs. Nonetheless, they require energy management schemes to operate reliably, unlike their grid-powered counterparts. Such schemes require the forecasting of future solar power inputs for each wireless sensor node, over a time horizon. They also require the determination of battery energy parameters in real time. To address both requirements, we propose a collaborative solar power forecasting framework combined to a real time battery capacity estimation model, which can be used to optimize the node schedules over the corresponding horizon. © 2015 ieee.

关键词： Solar energy

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Average power consumption breakdown of Wireless sensor Network nodes using IPv6 over LLNs 11

Average power consumption breakdown of Wireless Sensor Netwo...

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ieee international conference on distributed computing in sensor systems dcoss

作者： Schandy, Javier Steinfeld, Leonardo Silveira, Fernando Univ Republica Inst Ingn Elect Fac Ingn Montevideo Uruguay

ISBN: (纸本)9781479988563

Achieving low levels of energy consumption is crucial for Wireless sensor Networks in order to extend battery lifetime. As network protocols become standardized, it becomes mandatory to correctly select the optimal parameters in order to reduce the energy consumption for a certain application. This paper presents a simple but still powerful approach for the analysis of the average power consumption of a sensor node using the IPv6 over Low power and Lossy Networks (LLN) stack, which is one of the most widely adopted and promising communication stacks. Power consumption is broken down according to the node states (i.e. CPU, IRQ, LPM, Tx, Rx) and according to the network protocols (e.g. CoAP, RPL, 6LoWPAN, ContikiMAC), identifying the relative weight of each protocol in the total energy consumption for several configurations. Results show that the Low Power Listening (LPL) mechanism of the radio duty cycling layer and RPL control messages have the highest impact on the total energy consumption, while the application's report rate has a very low impact for periods over 60 seconds.

关键词： CoAP Contiki OS IP networks RPL power breakdown power consumption wireless sensor networks Wireless sensor networks Power consumption Internet Protocol networks IPv6 total energy consumption leased line network average power Network protocols low impact

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