TY - GEN
T1 - Distributed wireless energy scheduling for wireless powered sensor networks
AU - Niyato, Dusit
AU - Lu, Xiao
AU - Wang, Ping
AU - Kim, Dong In
AU - Han, Zhu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/12
Y1 - 2016/7/12
N2 - A wireless powered communication network is a potential application of wireless energy harvesting to improve convenience and flexibility. However, wireless energy transfer from a wireless energy source has to be scheduled to minimize energy usage while meeting quality of service (QoS) requirements of sensor nodes in the network. In this paper, we consider wireless powered sensor network whose sensor nodes have auxiliary energy sources in addition to dedicated wireless energy transfer. We propose a distributed wireless energy transfer scheduling to achieve the aforementioned objective and meet the requirements. We formulate a constrained stochastic game model to obtain a multi-policy constrained Nash equilibrium of wireless energy transfer request. This equilibrium instructs the sensor node to request for wireless energy transfer based on its local state. The performance evaluation shows that the analytical model is well verified by numerical simulations.
AB - A wireless powered communication network is a potential application of wireless energy harvesting to improve convenience and flexibility. However, wireless energy transfer from a wireless energy source has to be scheduled to minimize energy usage while meeting quality of service (QoS) requirements of sensor nodes in the network. In this paper, we consider wireless powered sensor network whose sensor nodes have auxiliary energy sources in addition to dedicated wireless energy transfer. We propose a distributed wireless energy transfer scheduling to achieve the aforementioned objective and meet the requirements. We formulate a constrained stochastic game model to obtain a multi-policy constrained Nash equilibrium of wireless energy transfer request. This equilibrium instructs the sensor node to request for wireless energy transfer based on its local state. The performance evaluation shows that the analytical model is well verified by numerical simulations.
KW - constrained stochastic game
KW - energy scheduling
KW - Wireless powered communication networks
UR - https://www.scopus.com/pages/publications/84981337929
U2 - 10.1109/ICC.2016.7510699
DO - 10.1109/ICC.2016.7510699
M3 - Conference contribution
AN - SCOPUS:84981337929
T3 - 2016 IEEE International Conference on Communications, ICC 2016
BT - 2016 IEEE International Conference on Communications, ICC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Communications, ICC 2016
Y2 - 22 May 2016 through 27 May 2016
ER -