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An Analysis Scheme of Balancing Energy Consumption with Mobile Velocity Control Strategy for Wireless Rechargeable Sensor Networks
by
Alfarraj, Osama
, Zhang, Shun-Miao
, Gao, Sheng-Bo
, Huang, De-Gen
, Wang, Jin
, Tolba, Amr
, Yao, Hong-Wei
, Dao, Thi-Kien
in
Data collection
/ Data transmission
/ Energy consumption
/ Methods
/ mobile gathering and charging
/ Receivers & amplifiers
/ Sensors
/ speed control
/ Velocity
/ Wireless networks
/ wireless rechargeable sensor networks
2020
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An Analysis Scheme of Balancing Energy Consumption with Mobile Velocity Control Strategy for Wireless Rechargeable Sensor Networks
by
Alfarraj, Osama
, Zhang, Shun-Miao
, Gao, Sheng-Bo
, Huang, De-Gen
, Wang, Jin
, Tolba, Amr
, Yao, Hong-Wei
, Dao, Thi-Kien
in
Data collection
/ Data transmission
/ Energy consumption
/ Methods
/ mobile gathering and charging
/ Receivers & amplifiers
/ Sensors
/ speed control
/ Velocity
/ Wireless networks
/ wireless rechargeable sensor networks
2020
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Do you wish to request the book?
An Analysis Scheme of Balancing Energy Consumption with Mobile Velocity Control Strategy for Wireless Rechargeable Sensor Networks
by
Alfarraj, Osama
, Zhang, Shun-Miao
, Gao, Sheng-Bo
, Huang, De-Gen
, Wang, Jin
, Tolba, Amr
, Yao, Hong-Wei
, Dao, Thi-Kien
in
Data collection
/ Data transmission
/ Energy consumption
/ Methods
/ mobile gathering and charging
/ Receivers & amplifiers
/ Sensors
/ speed control
/ Velocity
/ Wireless networks
/ wireless rechargeable sensor networks
2020
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An Analysis Scheme of Balancing Energy Consumption with Mobile Velocity Control Strategy for Wireless Rechargeable Sensor Networks
Journal Article
An Analysis Scheme of Balancing Energy Consumption with Mobile Velocity Control Strategy for Wireless Rechargeable Sensor Networks
2020
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Overview
Wireless Rechargeable Sensor Networks (WRSN) are not yet fully functional and robust due to the fact that their setting parameters assume fixed control velocity and location. This study proposes a novel scheme of the WRSN with mobile sink (MS) velocity control strategies for charging nodes and collecting its data in WRSN. Strip space of the deployed network area is divided into sub-locations for variant corresponding velocities based on nodes energy expenditure demands. The points of consumed energy bottleneck nodes in sub-locations are determined based on gathering data of residual energy and expenditure of nodes. A minimum reliable energy balanced spanning tree is constructed based on data collection to optimize the data transmission paths, balance energy consumption, and reduce data loss during transmission. Experimental results are compared with the other methods in the literature that show that the proposed scheme offers a more effective alternative in reducing the network packet loss rate, balancing the nodes’ energy consumption, and charging capacity of the nodes than the competitors.
Publisher
MDPI AG,MDPI
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