By Topic

Distortion analysis for delay tolerant data collection for high-speed wireless sensor and actor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yaxiong Liu ; The 28th Research Institute of China, Electronics Technology Group Corporation, Nanjing 210007, China ; Cailian Chen ; Hangchen Yu ; Xinping Guan

In this paper, we propose to leverage high-speed rail as mobile actor to assist structural health monitoring (SHM) data collection and delivery for wireless sensor and actor networks (WSANs). Due to high density in the network topology, sensor observations have spatial and temporal correlation. With the spatiotemporal correlation, we first provide a two-phase data collection scheme. In the first phase, the WSANs transmit the data to a sink node and then aggregate the data using the spatial correlation. In the second phase, when the high-speed train passing by the tunnel or the bridge, the sink node transmits the data to the train and then aggregate the data with consideration of the temporal correlation. Also because of the high speed mobility of the train, the communication link between the sink and the train may be fail, so we need to estimate the lost packet. We then estimate spatiotemporal distortion to denote the event collection's reliability/fidelity. Through extensive simulation, we discuss several key elements that will affect the reliability.

Published in:

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Date of Conference:

6-8 July 2012