Localization of a sensor network node using machine learning has been recently studied. It is easy for Support vector machines algorithm to implement in high level language enabling parallelism. Raspberrypi is a linux system which can be used as a sensor node. Pi can be used to construct IP based Hadoop clusters. In this paper, we realized Support vector machine using python language and built a sensor network cluster with 5 Pi's. We also established a Hadoop software framework to employ MapReduce mechanism. In our experiment, we implemented the test sensor network with a variety of parameters and examined based on proficiency, resource evaluation, and processing time. The experimentation showed that with more execution power and memory volume, Pi could be appropriate for a member node of the cluster, accomplishing precise classification for sensor localization using machine learning.
@article{ HOJBC0_2014_v18n12_2885}
,title={Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network}
,volume={12}
, url={http://dx.doi.org/10.6109/jkiice.2014.18.12.2885}, DOI={10.6109/jkiice.2014.18.12.2885}
, number= {12}
, journal={Journal of the Korea Institute of Information and Communication Engineering}
, publisher={The Korean Institute of Information and Commucation Engineering}
, author={Sangook, Moon}
, year={2014}
, month={Dec}
TY - JOUR
T2 - Journal of the Korea Institute of Information and Communication Engineering
AU - Sangook, Moon
SN - 2234-4772
TI - Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network
VL - 18
PB - The Korean Institute of Information and Commucation Engineering
DO - 10.6109/jkiice.2014.18.12.2885
PY - 2014
UR - http://dx.doi.org/10.6109/jkiice.2014.18.12.2885
ER -
Sangook, M.
( 2014).
Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network.
Journal of the Korea Institute of Information and Communication Engineering,
18
(12)
The Korean Institute of Information and Commucation Engineering.
doi:10.6109/jkiice.2014.18.12.2885
&
Sangook, M
2014,
Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network,
Journal of the Korea Institute of Information and Communication Engineering,
vol. 12,
no. 12,
Retrieved from http://dx.doi.org/10.6109/jkiice.2014.18.12.2885
[1]
and
M Sangook
,
“Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network”,
Journal of the Korea Institute of Information and Communication Engineering,
vol. 12,
no. 12,
Dec
2014.
Sangook, Moon
and
.
“Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network”
Journal of the Korea Institute of Information and Communication Engineering,
12.
12
2014:
Sangook, M
Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network.
Journal of the Korea Institute of Information and Communication Engineering
[Internet].
2014.
Dec ;
12
(12)
Available from http://dx.doi.org/10.6109/jkiice.2014.18.12.2885
and
Sangook, Moon
.
“Constructing a Support Vector Machine for Localization on a Low-End Cluster Sensor Network.”
Journal of the Korea Institute of Information and Communication Engineering
12
no.12
()
Dec,
2014):
http://dx.doi.org/10.6109/jkiice.2014.18.12.2885
