Sensor networks deployed in remote locations require easy to use but also extremely expressive tools for reliable operation. The PermaSense project has developed a platform based on a number of proven COTS components ...
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ISBN:
(纸本)9781424451081
Sensor networks deployed in remote locations require easy to use but also extremely expressive tools for reliable operation. The PermaSense project has developed a platform based on a number of proven COTS components and integrated with the GSN based data backend. All tools are accessible from a single location in a web browser. This demo will present the monitoring and control tools in live operation with deployments on real field sites in the Swiss Alps.
In a multiobjective setting, evolutionary algorithms can be used to generate a set of compromise solutions. This makes decision making easier for the user as he has alternative solutions at hand which he can directly ...
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ISBN:
(纸本)9781605581309
In a multiobjective setting, evolutionary algorithms can be used to generate a set of compromise solutions. This makes decision making easier for the user as he has alternative solutions at hand which he can directly compare. However, if the number of solutions and the number of decision variables which define the solutions are large, such an analysis may be difficult and corresponding tools are desirable to support a human in separating relevant from irrelevant information. In this paper, we present a method to extract structural information from Pareto-set approximations which offers the possibility to present and visualize the trade-off surface in a compressed form. The main idea is to identify modules of decision variables that are strongly related to each other. Thereby, the set of decision variables can be reduced to a smaller number of significant modules. Furthermore, at the same time the solutions are grouped in a hierarchical manner according to their module similarity. Overall, the output is a dendrogram where the leaves are the solutions and the nodes are annotated with modules. As will be shown on knapsack problem instances and a network processor design application, this method can be highly useful to reveal hidden structures in compromise solution sets. Copyright 2008 ACM.
Safety-critical wireless sensor networks, such as a distributed fire- or burglar-alarm system, require that all sensor nodes are up and functional. If an event is triggered on a node, this information must be forwarde...
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ISBN:
(纸本)9781605582351
Safety-critical wireless sensor networks, such as a distributed fire- or burglar-alarm system, require that all sensor nodes are up and functional. If an event is triggered on a node, this information must be forwarded immediately to the sink, without setting up a route on demand or having to find an alternate route in case of a node or link failure. Therefore, failures of nodes must be known at all times and in case of a detected failure, an immediate notification must be sent to the network operator. There is usually a bounded time limit, e.g., five minutes, for the system to report network or node failure. This paper presents DiMo, a distributed and scalable solution for monitoring the nodes and the topology, along with a redundant topology for increased robustness. Compared to existing solutions, which traditionally assume a continuous data-flow from all nodes in the network, DiMo observes the nodes and the topology locally. DiMo only reports to the sink if a node is potentially failed, which greatly reduces the message overhead and energy consumption. DiMo timely reports failed nodes and minimizes the false-positive rate and energy consumption compared with other prominent solutions for node monitoring. Copyright 2008 ACM.
Testing and verification methodologies for Wireless Sensor networks (WSN) systems in pre-deployment are vital for a successful deployment. Increased visibility of the internal state of a WSN application is established...
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Customer classification and prioritization are commonly utilized in applications to provide queue preferential service. Their fairness aspects, which are inherent to any preferential system and highly important to cus...
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86 Gbit/s hybrid polarization multiplexed OOK/DPSK signal is generated and transmitted at the same wavelength. Clear eye diagrams of demultiplexed OOK and DPSK signals are obtained after transmission over a 106.5 km S...
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The dynamic nature of wireless communication and the stringent energy constraints are major challenges for the design of low-power wireless sensor network applications. The link quality of a wireless link is known for...
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ISBN:
(纸本)9784907764319
The dynamic nature of wireless communication and the stringent energy constraints are major challenges for the design of low-power wireless sensor network applications. The link quality of a wireless link is known for its great variability, dependent on the distance between nodes, the antenna's radiation characteristic, multipath, diffraction, scattering and many more. Especially for indoor and urban deployments, there are numerous factors impacting the wireless channel. In an extensive experimental study contained in the first part of this paper, we show the magnitude of this problem for current Wireless Sensor networks (WSNs) and that based on the overall connectivity graph of a typical multihop WSN, a large portion of the links actually exhibit very poor characteristics. We present a pattern based estimation technique that allows assessing the quality of a link at startup and as a result to construct an optimal neighbor table right at the beginning using a minimum of resources only. Our estimation technique is superior compared to other approaches where protocols continue to decide on the fly which links to use expending valuable energy both for unnecessary retransmissions and recursive link estimation.
The pursuit of energy efficiency is becoming more and more important in hardware and software designs. This research explores energy-efficient scheduling for a periodic real-time task with uncertain execution time in ...
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The pursuit of energy efficiency is becoming more and more important in hardware and software designs. This research explores energy-efficient scheduling for a periodic real-time task with uncertain execution time in dynamic voltage scaling (DVS) systems with non-negligible leakage/static power consumption. Distinct from the assumption of non-reducible static power consumption in the literature, this paper considers the possibility to reduce it by turning a processor to a dormant mode. We propose an algorithm to derive an optimal frequency assignment to minimize the expected energy consumption without procrastination, while another extended algorithm is developed to apply procrastination scheduling for further energy reduction. Experimental results show that the proposed algorithms can effectively minimize the expected energy consumption.
We demonstrated a simple all-normal-dispersion Yb-doped femtosecond fiber laser, which delivers a pulse with 8.9 nJ and 33 MHz. After the extracavity compression with a grating pair, the pulse was compressed to 210 fs...
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We propose that double broadcast services can be overlaid over high-speed point-to-point downlink data in a WDM-PON with source-free optical network units (ONUs). In the optical line terminal (OLT), a set of single-dr...
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