TY - GEN
T1 - Delay-Tolerant On-Demand Mobile Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks
AU - Chen, Zhansheng
AU - Shen, Hong
AU - Zhao, Xiaofan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Wireless sensor networks based on mobile charging vehicle can significantly alleviate the problem of network energy hole and extend network lifetime, but it is faced with how to improve the charging efficiency when the charger's power is constant. In this paper, a delay-tolerant on-demand mobile charging scheduling scheme (DMCSS) is proposed for maximizing the the charging efficiency and preventing nodes from premature failure under the condition of limited mobile charger capacity. The main challenges of our scheme are how to optimize the trajectory and maximize charging efficiency. In DMCSS, we design an adaptive and scalable energy charging strategy for realizing the rational allocation of power resource and devise an efficient next charging node selection algorithm function by considering the angle, the residual energy of RS and the current distance between request RS and MCV. With extensive simulations, we demonstrate that DMCSS scheme not only significantly increases charing efficiency, compared with EDF, NJNP, LADP, and RCSS schemes, but also prevents nodes from premature failure.
AB - Wireless sensor networks based on mobile charging vehicle can significantly alleviate the problem of network energy hole and extend network lifetime, but it is faced with how to improve the charging efficiency when the charger's power is constant. In this paper, a delay-tolerant on-demand mobile charging scheduling scheme (DMCSS) is proposed for maximizing the the charging efficiency and preventing nodes from premature failure under the condition of limited mobile charger capacity. The main challenges of our scheme are how to optimize the trajectory and maximize charging efficiency. In DMCSS, we design an adaptive and scalable energy charging strategy for realizing the rational allocation of power resource and devise an efficient next charging node selection algorithm function by considering the angle, the residual energy of RS and the current distance between request RS and MCV. With extensive simulations, we demonstrate that DMCSS scheme not only significantly increases charing efficiency, compared with EDF, NJNP, LADP, and RCSS schemes, but also prevents nodes from premature failure.
KW - Adaptive scheduling algorithm
KW - Delay-tolerant
KW - Mobile charging
KW - On-demand energy replenishment
KW - Wireless rechargeable sensor networks (WRSNs)
UR - http://www.scopus.com/inward/record.url?scp=85065677128&partnerID=8YFLogxK
U2 - 10.1109/PAAP.2018.00013
DO - 10.1109/PAAP.2018.00013
M3 - Conference contribution
AN - SCOPUS:85065677128
T3 - Proceedings - International Symposium on Parallel Architectures, Algorithms and Programming, PAAP
SP - 29
EP - 35
BT - Proceedings - 2018 9th International Conference on Parallel Architectures, Algorithms and Programming, PAAP 2018
PB - IEEE Computer Society
T2 - 9th International Conference on Parallel Architectures, Algorithms and Programming, PAAP 2018
Y2 - 26 December 2018 through 28 December 2018
ER -