Wireless Sensor Networks: 7th European Conference, EWSN 2010, Coimbra, Portugal, February 17-19, 2010, Proceedings by Jorge Sá SilvaWireless Sensor Networks: 7th European Conference, EWSN 2010, Coimbra, Portugal, February 17-19, 2010, Proceedings by Jorge Sá Silva

Wireless Sensor Networks: 7th European Conference, EWSN 2010, Coimbra, Portugal, February 17-19…

byJorge Sá SilvaEditorBhaskar Krishnamachari, Fernando Boavida

Paperback | March 2, 2010

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It is our great pleasure to present the proceedings of the European Conference on Wireless Sensor Networks 2010 (EWSN 2010). As the field of wireless sensor networks matures, new design concepts, experim- tal and theoretical findings, and applications have continued to emerge at a rapid pace. As one of the leading international conferences in this area, EWSN has played a s- stantial role in the dissemination of innovative research ideas from researchers all over the globe. EWSN 2010 was organized by the University of Coimbra, Portugal, during February 17-19, 2010 and it was the seventh meeting in this series. Previous events were held in Berlin (Germany) in 2004, Istanbul (Turkey) in 2005, Zurich (Switz- land) in 2006, Delft (The Netherlands) in 2007, and Cork (Ireland) in 2009. A high-quality selection of papers made up EWSN 2010. Based on the reviews and the recommendations from the four live TPC discussions, we selected a total of 21 papers from 109 submissions (19.26% acceptance rate) for EWSN 2010. Topics of interest included hardware design and implementation, operating systems and so- ware, middleware and macroprogramming, communication and network protocols, information and signal processing, fundamental theoretical limits and algorithms, prototypes, field experiments, testbeds, novel applications, including urban sensing, security and fault-tolerance. Putting together EWSN 2010 was a team effort. We would like to thank the P- gram Committee members, the reviewers, our sponsors, all authors, and the Organ- ing Committee for their respective contributions.
Title:Wireless Sensor Networks: 7th European Conference, EWSN 2010, Coimbra, Portugal, February 17-19…Format:PaperbackDimensions:340 pagesPublished:March 2, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642119166

ISBN - 13:9783642119163


Table of Contents

Localization, Synchronization and Compression.- Radio Interferometric Angle of Arrival Estimation.- Phoenix: An Epidemic Approach to Time Reconstruction.- Trimming the Tree: Tailoring Adaptive Huffman Coding to Wireless Sensor Networks.- Networking - I.- Querying Dynamic Wireless Sensor Networks with Non-revisiting Random Walks.- TARF: A Trust-Aware Routing Framework for Wireless Sensor Networks.- Low-Overhead Dynamic Multi-channel MAC for Wireless Sensor Networks.- Exploiting Overlapping Channels for Minimum Power Configuration in Real-Time Sensor Networks.- New Directions.- Privacy-Preserving Reconstruction of Multidimensional Data Maps in Vehicular Participatory Sensing.- Gathering Sensor Data in Home Networks with IPFIX.- Sensing for Stride Information of Sprinters.- Programming & Architecture.- Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks.- Selective Reprogramming of Mobile Sensor Networks through Social Community Detection.- Improving Sensornet Performance by Separating System Configuration from System Logic.- Virtualising Testbeds to Support Large-Scale Reconfigurable Experimental Facilities.- Link Reliability.- Mitigating the Effects of RF Interference through RSSI-Based Error Recovery.- F-LQE: A Fuzzy Link Quality Estimator for Wireless Sensor Networks.- On the Mechanisms and Effects of Calibrating RSSI Measurements for 802.15.4 Radios.- Making Sensornet MAC Protocols Robust against Interference.- Networking - II.- MaxMAC: A Maximally Traffic-Adaptive MAC Protocol for Wireless Sensor Networks.- Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks.- An Adaptive Strategy for Energy-Efficient Data Collection in Sparse Wireless Sensor Networks.