TY - JOUR
T1 - Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks
AU - Amin, Azka
AU - Liu, Xi Hua
AU - Saleem, Muhammad Asim
AU - Henna, Shagufta
AU - Islam, Taseer Ul
AU - Khan, Imran
AU - Uthansakul, Peerapong
AU - Qurashi, Muhammad Zeshan
AU - Mirjavadi, Seyed Sajad
AU - Forsat, Masoud
N1 - Publisher Copyright:
© 2020 Azka Amin et al.
PY - 2020
Y1 - 2020
N2 - Wireless power transfer techniques to transfer energy have been widely adopted by wireless rechargeable sensor networks (WRSNs). These techniques are aimed at increasing network lifetime by transferring power to end devices. Under these wireless techniques, the incurred charging latency to replenish the sensor nodes is considered as one of the major issues in wireless sensor networks (WSNs). Existing recharging schemes rely on rigid recharging schedules to recharge a WSN deployment using a single global charger. Although these schemes charge devices, they are not on-demand and incur higher charging latency affecting the lifetime of a WSN. This paper proposes a collaborative recharging technique to offload recharging workload to local chargers. Experiment results reveal that the proposed scheme maximizes average network lifetime and has better average charging throughput and charging latency compared to a global charger-based recharging.
AB - Wireless power transfer techniques to transfer energy have been widely adopted by wireless rechargeable sensor networks (WRSNs). These techniques are aimed at increasing network lifetime by transferring power to end devices. Under these wireless techniques, the incurred charging latency to replenish the sensor nodes is considered as one of the major issues in wireless sensor networks (WSNs). Existing recharging schemes rely on rigid recharging schedules to recharge a WSN deployment using a single global charger. Although these schemes charge devices, they are not on-demand and incur higher charging latency affecting the lifetime of a WSN. This paper proposes a collaborative recharging technique to offload recharging workload to local chargers. Experiment results reveal that the proposed scheme maximizes average network lifetime and has better average charging throughput and charging latency compared to a global charger-based recharging.
UR - http://www.scopus.com/inward/record.url?scp=85088695146&partnerID=8YFLogxK
U2 - 10.1155/2020/9701531
DO - 10.1155/2020/9701531
M3 - Article
AN - SCOPUS:85088695146
SN - 1530-8669
VL - 2020
JO - Wireless Communications and Mobile Computing
JF - Wireless Communications and Mobile Computing
M1 - 9701531
ER -