Fine-Grained Loss Tomography in Dynamic Sensor Networks

2015 ◽  
Author(s):  
Chenhong Cao ◽  
Yi Gao ◽  
Wei Dong ◽  
Jiajun Bu
Keyword(s):  
Sensor Networks ◽  
Fine Grained ◽  
Dynamic Sensor Networks

Fine-grained in-door localisation with wireless sensor networks

2012 ◽  
Author(s):  
Constantinos Marios Angelopoulos ◽  
Gabriel Filios ◽  
Marios Karagiannis ◽  
Sotiris Nikoletseas ◽  
José Rolim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Fine Grained

Micro Robots for Dynamic Sensor Networks

2015 ◽  
pp. 187-202
Author(s):  
Boaz Benmoshe ◽  
Kobi Gozlan ◽  
Nir Shvalb ◽  
Tal Raskin
Keyword(s):  
Sensor Networks ◽  
Dynamic Sensor Networks

Node or Link? Fine-Grained Analysis of Packet-Loss Attacks in Wireless Sensor Networks

2016 ◽  
Vol 12 (2) ◽  
pp. 1-30 ◽  
Author(s):  
Daniele Midi ◽  
Elisa Bertino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Packet Loss ◽  
Wireless Sensor ◽  
Fine Grained

scholarly journals Integrity and Collaboration in Dynamic Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2400 ◽  
Author(s):  
Steffen Schön ◽  
Claus Brenner ◽  
Hamza Alkhatib ◽  
Max Coenen ◽  
Hani Dbouk ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Urban Areas ◽  
Research Training ◽  
Training Group ◽  
Autonomous Driving ◽  
Global Navigation Satellite Systems ◽  
Satellite Systems ◽  
Global Navigation Satellite ◽  
Map Data ◽  
Dynamic Sensor Networks

Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especially true for applications dealing with highly automatic or even autonomous driving. Subsequently, multi-sensor platforms including laser scanners and cameras, as well as map data are used to enhance the navigation performance, namely in accuracy, integrity, continuity and availability. Although well-established procedures for integrity monitoring exist for aircraft navigation, for sensors and fusion algorithms used in automotive navigation, these concepts are still lacking. The research training group i.c.sens, integrity and collaboration in dynamic sensor networks, aims to fill this gap and to contribute to relevant topics. This includes the definition of alternative integrity concepts for space and time based on set theory and interval mathematics, establishing new types of maps that report on the trustworthiness of the represented information, as well as taking advantage of collaboration by improved filters incorporating person and object tracking. In this paper, we describe our approach and summarize the preliminary results.

Secure Protocol for Incoming Sensor Node in the Dynamic Sensor Networks

2006 ◽  
Author(s):  
Young-sik Hwang ◽  
Seung-wan Han ◽  
Taek-yong Nam
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Secure Protocol ◽  
Dynamic Sensor Networks
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