TY - GEN
T1 - Enhancement of Energy Harvesting Efficiency in Mobile Wireless Sensor Networks
AU - Ka'Bi, Amin Al
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this research work, a proposed method for extending the lifetime of energy-constrained Mobile wireless sensor networks (MWSNs) is presented. This method is based on the fact that RF signal carries both information and energy at the same time. Hence, by increasing the efficiency of energy harvesting from radio frequency (RF) signals, the lifetime of the wireless network can be significantly extended. The Simultaneous Wireless Information and Power Transfer (SWIPT) in this technique enables harvesting of energy by relay nodes which in turn can be used for wireless data transmission. In order to enhance the lifetime of the mobile wireless network, the transmitted RF energy can be recycled at the receiver side. On the other hand, a balance between energy harvesting and wireless data transmission is required in order to maximize the overall efficiency of the system. Particle Swarm Optimization (PSO) is employed to obtain the optimum resource allocation policies which maximizes the system energy efficiency. A cost function is framed for this purpose and PSO attains maximum energy efficiency by improving the solution of the cost function at each iteration with respect to given constraints.
AB - In this research work, a proposed method for extending the lifetime of energy-constrained Mobile wireless sensor networks (MWSNs) is presented. This method is based on the fact that RF signal carries both information and energy at the same time. Hence, by increasing the efficiency of energy harvesting from radio frequency (RF) signals, the lifetime of the wireless network can be significantly extended. The Simultaneous Wireless Information and Power Transfer (SWIPT) in this technique enables harvesting of energy by relay nodes which in turn can be used for wireless data transmission. In order to enhance the lifetime of the mobile wireless network, the transmitted RF energy can be recycled at the receiver side. On the other hand, a balance between energy harvesting and wireless data transmission is required in order to maximize the overall efficiency of the system. Particle Swarm Optimization (PSO) is employed to obtain the optimum resource allocation policies which maximizes the system energy efficiency. A cost function is framed for this purpose and PSO attains maximum energy efficiency by improving the solution of the cost function at each iteration with respect to given constraints.
KW - Energy Efficiency
KW - Low Energy Adaptive Clustering Hierarchy (LEACH)
KW - Particle Swarm Optimization (PSO)
KW - Resource Allocation
KW - Simultaneous Wireless Information and Power Transfer (SWIPT)
UR - http://www.scopus.com/inward/record.url?scp=85125176726&partnerID=8YFLogxK
U2 - 10.1109/UEMCON53757.2021.9666602
DO - 10.1109/UEMCON53757.2021.9666602
M3 - Conference contribution
AN - SCOPUS:85125176726
T3 - 2021 IEEE 12th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2021
SP - 137
EP - 142
BT - 2021 IEEE 12th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2021
A2 - Paul, Rajashree
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2021
Y2 - 1 December 2021 through 4 December 2021
ER -
