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Titlebook: Wireless Sensor Networks; 10th European Confer Piet Demeester,Ingrid Moerman,Andreas Terzis Conference proceedings 2013 Springer-Verlag Ber

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樓主: Motion
21#
發(fā)表于 2025-3-25 06:18:52 | 只看該作者
22#
發(fā)表于 2025-3-25 08:11:35 | 只看該作者
23#
發(fā)表于 2025-3-25 12:26:41 | 只看該作者
Annotating Real-World Objects Using Semantic Entities,n the Internet, it still remains a strictly devicecentric approach. However, one is usually interested in the phenomena observed by one or more devices and not in the sensors themselves. To bridge this gap, we introduce and evaluate the concept of Service-Level Semantic Entities (SLSE). They support
24#
發(fā)表于 2025-3-25 18:31:22 | 只看該作者
Data-Aware, Resource-Aware, Lossless Compression for Sensor Networks, a novel lossless compression algorithm for sensor networks that is both data-aware and resource-aware. The DARA algorithm provides high compression ratios and also has a small memory footprint and efficient execution well within the range of sensor nodes. It is demonstrated that data-awareness, tha
25#
發(fā)表于 2025-3-25 22:50:16 | 只看該作者
26#
發(fā)表于 2025-3-26 02:20:35 | 只看該作者
27#
發(fā)表于 2025-3-26 06:35:18 | 只看該作者
On Optimal Connectivity Restoration in Segmented Sensor Networks,ges” among segments, such that both the average path length from nodes to the sink and the number of mobile nodes used are minimized. We formulate the optimal connectivity restoration as a multi-objective optimization problem and develop centralized and distributed algorithms for solving it. Given g
28#
發(fā)表于 2025-3-26 08:58:01 | 只看該作者
Online Device-Level Energy Accounting for Wireless Sensor Nodes,early node failures. This makes it necessary to manage energy consumption. But to manage energy it is essential to know how much energy is spent by the system. Additionally, for a more fine-grained management it is necessary, to know where the energy is spent. This can be a complicated task, since n
29#
發(fā)表于 2025-3-26 13:36:18 | 只看該作者
Coexistence Aware Clear Channel Assessment,unlicensed industrial scientific and medical bands – where wireless sensor networks typically operate – are crowded with a number of technologies interfering with each other. Delivering a sufficiently high QoS within these frequency bands is therefore becoming more and more difficult. A theoretic co
30#
發(fā)表于 2025-3-26 20:52:17 | 只看該作者
Battery State-of-Charge Approximation for Energy Harvesting Embedded Systems,xtend the network’s lifetime, and theoretically permit continuous operation even for systems with high-energy consumption, environmental energy harvesting has attracted much interest. It has been shown that the motes’ utility can be improved significantly if run-time knowledge of remaining battery c
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