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A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES

Abstract: 

Efficient deployment of Internet of Things (IoT) sensors primarily depends on allowing the adjustment of sensor power consumption according to the radio frequency (RF) propagation channel which is dictated by the type of the surrounding indoor environment. This paper develops a machine learning approach for indoor environment classification by exploiting support vector machine (SVM) based on RF signatures computed from real-time measurements. Results obtained demonstrate that the combination of received signal strength (RSS) and channel transfer function (CTF) yields a classification accuracy of 83.0% for identifying the type of the indoor environment.

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Paper Details

Authors:
Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair
Submitted On:
24 November 2018 - 4:04pm
Short Link:
Type:
Poster
Event:
Document Year:
2018
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Document Files

GlobalSIP_Poster.pdf

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[1] Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair, "A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3772. Accessed: Apr. 20, 2019.
@article{3772-18,
url = {http://sigport.org/3772},
author = {Mohamed I. AlHajri; Nazar T. Ali; Raed M. Shubair },
publisher = {IEEE SigPort},
title = {A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES},
year = {2018} }
TY - EJOUR
T1 - A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES
AU - Mohamed I. AlHajri; Nazar T. Ali; Raed M. Shubair
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3772
ER -
Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair. (2018). A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES. IEEE SigPort. http://sigport.org/3772
Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair, 2018. A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES. Available at: http://sigport.org/3772.
Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair. (2018). "A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES." Web.
1. Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair. A MACHINE LEARNING APPROACH FOR THE CLASSIFICATION OF INDOOR ENVIRONMENTS USING RF SIGNATURES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3772