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Third IEEE International Conference on Pervasive Computing and Communications (PerCom'05)
Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network
Kauai Island, Hawaii
March 08-March 12
ISBN: 0-7695-2299-8
ASCII Text
x 
 
Atul Verma, Hemjit Sawant, Jindong Tan, "Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network," Pervasive Computing and Communications, IEEE International Conference on, pp. 41-50, Third IEEE International Conference on Pervasive Computing and Communications (PerCom'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/PERCOM.2005.39,
author = {Atul Verma and Hemjit Sawant and Jindong Tan},
title = {Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network},
journal ={Pervasive Computing and Communications, IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2299-8},
pages = {41-50},
doi = {http://doi.ieeecomputersociety.org/10.1109/PERCOM.2005.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pervasive Computing and Communications, IEEE International Conference on
TI - Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network
SN - 0-7695-2299-8
SP41
EP50
A1 - Atul Verma,
A1 - Hemjit Sawant,
A1 - Jindong Tan,
PY - 2005
KW - null
VL - 0
JA - Pervasive Computing and Communications, IEEE International Conference on
ER -
 
Atul Verma, Michigan Technological University
Hemjit Sawant, Michigan Technological University
Jindong Tan, Michigan Technological University
Hybrid sensor networks comprise of mobile and static sensor nodes setup for the purpose of collaboratively performing tasks like sensing a phenomenon or monitoring a region. In this paper, we present a novel approach for navigating a mobile sensor node (MSN) through such a hybrid sensor network. The static sensor nodes in the sensor network guide the MSN to the phenomenon. One or more MSN?s are selected based on their proximity to the detected phenomenon. Navigation is accomplished using the concepts of credit based field setup and navigation force from static sensor nodes. Our approach does not require any prior maps of the environment thus, cutting down the cost of the overall system. The simulation results have verified the effectiveness of the proposed approach. In each of the simulation runs, the static sensor nodes were able to successfully guide the MSN towards the phenomenon.
Citation:
Atul Verma, Hemjit Sawant, Jindong Tan, "Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network," percom, pp.41-50, Third IEEE International Conference on Pervasive Computing and Communications (PerCom'05), 2005
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