TY - GEN
T1 - Sensor Node Selection Technique in Wireless Recheargeable Sensor Networks for Cyber-physical Systems
AU - Orumwense, Efe F.
AU - Abo-Al-Ez, Khaled
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In recent times, there has been tremendous growth in the area of wireless sensor networks which has led to the advent of wireless rechargeable sensor networks (WRSNs) that enables wireless energy transfer in improving charging technologies. With this current technology, charging process in a WRSN is mostly achieved with the aid of a wireless charging vehicle (WCV) which charges each sensor nodes in the network. In doing this, there exist some sensors nodes in the network that might have their energies depleted before WCV reaches them due to the fact that the WCV is serving other nodes in the network. In this paper, we develop a sensor node selection algorithm that selects the best possible set of sensor nodes to charge in the network without prior knowledge of the sensors energy levels so as to efficiently utilize the WCV. This scheme is aimed at maximizing the charging throughput and increase the lifetime of the WRSN. The simulation experiment carried out shows that our proposed scheme performs better when compared to other schemes in terms of the charging throughput of the sensor nodes in the network.
AB - In recent times, there has been tremendous growth in the area of wireless sensor networks which has led to the advent of wireless rechargeable sensor networks (WRSNs) that enables wireless energy transfer in improving charging technologies. With this current technology, charging process in a WRSN is mostly achieved with the aid of a wireless charging vehicle (WCV) which charges each sensor nodes in the network. In doing this, there exist some sensors nodes in the network that might have their energies depleted before WCV reaches them due to the fact that the WCV is serving other nodes in the network. In this paper, we develop a sensor node selection algorithm that selects the best possible set of sensor nodes to charge in the network without prior knowledge of the sensors energy levels so as to efficiently utilize the WCV. This scheme is aimed at maximizing the charging throughput and increase the lifetime of the WRSN. The simulation experiment carried out shows that our proposed scheme performs better when compared to other schemes in terms of the charging throughput of the sensor nodes in the network.
KW - Cyber-physical systems
KW - Wireless charging vehicle
KW - WRSN
UR - http://www.scopus.com/inward/record.url?scp=85124955172&partnerID=8YFLogxK
U2 - 10.1109/ISAECT53699.2021.9668421
DO - 10.1109/ISAECT53699.2021.9668421
M3 - Conference contribution
AN - SCOPUS:85124955172
T3 - 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021
BT - 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021
Y2 - 6 December 2021 through 8 December 2021
ER -