TY - GEN
T1 - A study of distributed compressive sensing for the Internet of Things (IoT)
AU - Shaban, Mohamed
AU - Abdelgawad, Ahmed
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/4
Y1 - 2018/5/4
N2 - Compressive sensing (CS) has been very useful for the Internet of Things (IoT). CS aims to reduce the number of samples acquired and transmitted by a sensor node using a low complex sampling operation. Furthermore, distributed compressive sensing (DCS) was introduced where the compressively sampled sensors' readings are jointly recovered at the fusion center rather than being recovered separately as in the CS. As a result, a reduction in the number of required measurements as well as the complexity of the sensor nodes is achieved. None of the previous works had studied the performance of DCS for sensed signals with abnormalities caused by sensor malfunctioning, sudden changes in temperature, or humidity. (i.e., practical IoT networks). In this paper, we extensively study the performance of DCS when signals with abnormalities are considered using simulations. The results show that DCS outperforms CS in successfully recovering signals with abnormalities.
AB - Compressive sensing (CS) has been very useful for the Internet of Things (IoT). CS aims to reduce the number of samples acquired and transmitted by a sensor node using a low complex sampling operation. Furthermore, distributed compressive sensing (DCS) was introduced where the compressively sampled sensors' readings are jointly recovered at the fusion center rather than being recovered separately as in the CS. As a result, a reduction in the number of required measurements as well as the complexity of the sensor nodes is achieved. None of the previous works had studied the performance of DCS for sensed signals with abnormalities caused by sensor malfunctioning, sudden changes in temperature, or humidity. (i.e., practical IoT networks). In this paper, we extensively study the performance of DCS when signals with abnormalities are considered using simulations. The results show that DCS outperforms CS in successfully recovering signals with abnormalities.
KW - Compressive Sensing
KW - Distributed Compressive Sensing
KW - Internet of Things
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=85050491850&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT.2018.8355095
DO - 10.1109/WF-IoT.2018.8355095
M3 - Conference contribution
AN - SCOPUS:85050491850
T3 - IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
SP - 173
EP - 178
BT - IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE World Forum on Internet of Things, WF-IoT 2018
Y2 - 5 February 2018 through 8 February 2018
ER -