TY - GEN
T1 - Electromagnetic Radiation Safety on Far-field Wireless Power Transfer in IoT
AU - Ma, Fuyong
AU - Liu, Xilong
AU - Ansari, Nirwan
N1 - Funding Information:
Fig. 5. The relationship between EMR safety threshold and charging power. VI. CONCLUSION In this paper, we study the overall charging power maximization problem while considering the EMR safety. We first propose the accurate EMR computing model for IoT far-field wireless charging. Moreover, we first propose the concept of the CRA for the real wireless charging scenario to guarantee the EMR safety. In order to maximize the overall wireless charging power while considering the EMR safety, the SSC algorithm is proposed to efficiently solve this problem. Through extensive simulations, we have validated that the SSC algorithm from three perspectives outperforms the distributed ROSE algorithm in terms of enhancing the accuracy of calculation while guaranteeing the EMR safety in the charging area. VII. ACKNOWLEDGEMENT This work was supported in part by the NSFC under Grant 62002312.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Nowadays, Far-field Wireless Power Transfer (FWPT) has attracted many research efforts to conveniently power the Internet of Things (IoT) devices. Electromagnetic Radiation (EMR) safety in FWPT has brought much attention from the public. Existing works on FWPT mainly focus on improving the remote charging efficiency but overlooking the effects of EMR. A few works consider EMR safety but do not present accurate EMR quantization analysis because there lacks an accurate EMR computing model in IoT wireless charging scenario. In this paper, in order to evaluate and avoid the EMR's harmful impact, we first propose an accurate theoretical calculation equation for EMR and the concept of Charging Restricted Area (CRA). In the wireless charging area on a 2-dimensional plane, according to the EMR computing model, we further maximize the overall charging power by adjusting the power of chargers and ensure that the EMR in this area is lower than the EMR safety threshold. The wireless charging EMR safety problem is formulated as a linear programming problem with infinite constraints. To re-express the wireless charging EMR safety problem as a typical linear programming problem with finite constraints, the Sampling Safety Charging (SSC) algorithm is proposed. We have conducted extensive experiments to validate our proposed algorithm; the simulation results show that the performance achieved by our algorithm outperforms that achieved by the distributed RObustlySafE (ROSE) algorithm.
AB - Nowadays, Far-field Wireless Power Transfer (FWPT) has attracted many research efforts to conveniently power the Internet of Things (IoT) devices. Electromagnetic Radiation (EMR) safety in FWPT has brought much attention from the public. Existing works on FWPT mainly focus on improving the remote charging efficiency but overlooking the effects of EMR. A few works consider EMR safety but do not present accurate EMR quantization analysis because there lacks an accurate EMR computing model in IoT wireless charging scenario. In this paper, in order to evaluate and avoid the EMR's harmful impact, we first propose an accurate theoretical calculation equation for EMR and the concept of Charging Restricted Area (CRA). In the wireless charging area on a 2-dimensional plane, according to the EMR computing model, we further maximize the overall charging power by adjusting the power of chargers and ensure that the EMR in this area is lower than the EMR safety threshold. The wireless charging EMR safety problem is formulated as a linear programming problem with infinite constraints. To re-express the wireless charging EMR safety problem as a typical linear programming problem with finite constraints, the Sampling Safety Charging (SSC) algorithm is proposed. We have conducted extensive experiments to validate our proposed algorithm; the simulation results show that the performance achieved by our algorithm outperforms that achieved by the distributed RObustlySafE (ROSE) algorithm.
KW - Charging Restricted Area
KW - Electromagnetic Radiation Safety
KW - Heuristic Algorithm
KW - Internet of Things
KW - Wireless Power Transfer
UR - http://www.scopus.com/inward/record.url?scp=85146927300&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146927300&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM48099.2022.10001490
DO - 10.1109/GLOBECOM48099.2022.10001490
M3 - Conference contribution
AN - SCOPUS:85146927300
T3 - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
SP - 4995
EP - 5000
BT - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Global Communications Conference, GLOBECOM 2022
Y2 - 4 December 2022 through 8 December 2022
ER -