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DRAGON: Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks
July 2012 (vol. 23 no. 7)
pp. 1193-1204
ASCII Text
x 
 
Nicholas Hubbell, Qi Han, "DRAGON: Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 7, pp. 1193-1204, July, 2012.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2011.264,
author = {Nicholas Hubbell and Qi Han},
title = {DRAGON: Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {23},
number = {7},
issn = {1045-9219},
year = {2012},
pages = {1193-1204},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.264},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - DRAGON: Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks
IS - 7
SN - 1045-9219
SP1193
EP1204
EPD - 1193-1204
A1 - Nicholas Hubbell,
A1 - Qi Han,
PY - 2012
KW - Event tracking protocols
KW - wireless sensor networks
KW - energy efficiency.
VL - 23
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
Nicholas Hubbell, Lockheed Martin Corporation, Littleton
Qi Han, Colorado School of Mines, Golden
Wireless sensor networks may be deployed in many applications to detect and track events of interest. Events can be either point events with an exact location and constant shape, or region events which cover a large area and have dynamic shapes. While both types of events have received attention, no event detection and tracking protocol in existing wireless sensor network research is able to identify and track region events with dynamic identities, which arise when events are created or destroyed through splitting and merging. In this paper, we propose DRAGON, an event detection and tracking protocol which is able to handle all types of events including region events with dynamic identities. DRAGON employs two physics metaphors: event center of mass, to give an approximate location to the event; and node momentum, to guide the detection of event merges and splits. Both detailed theoretical analysis and extensive performance studies of DRAGON's properties demonstrate that DRAGON's execution is distributed among the sensor nodes, has low latency, is energy efficient, is able to run on a wide array of physical deployments, and has performance which scales well with event size, speed, and count.

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Index Terms:
Event tracking protocols, wireless sensor networks, energy efficiency.
Citation:
Nicholas Hubbell, Qi Han, "DRAGON: Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 7, pp. 1193-1204, July 2012, doi:10.1109/TPDS.2011.264
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