Wireless Sensor Networks

7th European Conference, EWSN 2010, Coimbra, Portugal, February 17-19, 2010, Proceedings
1. Auflage. 2010
ISBN: 978-3-642-11916-3
Verlag: Springer

Buch, Englisch, Band 5970, 340 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 546 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Sá Silva, Jorge

Boavida, Fernando

Krishnamachari, Bhaskar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Technische Informatik Wartung & Reparatur
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Client-Server Netzwerke

Inhaltsverzeichnis

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.