Latency-Aware Energy-Efficient Far-Field Wireless Charging for IoT

Wei Song, Xilong Liu, Nirwan Ansari

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The worldwide rapid development of the Internet of Things (IoT) has led to an exaggerated scale and explosive increase of IoT devices (IoTDs). However, owing to embedded capacity limited batteries, most IoTDs have relatively short lifespans, which is a crucial factor of enervating their IoT applications. Far-field wireless charging is a means to extend IoTDs' lifespans. However, many far-field wireless charging scheduling strategies overlook the work load imbalances among different charging base stations, thus leading to low charging throughput (CTP) and prolonged waiting times for IoTDs. This adversely affects the IoTDs wireless charging network performance. Based on the M/G/1 queuing model, in this work, we first analyze the wireless charging workload of a charging base station and then aim to maximize CTP in the network by jointly considering the charging base stations' wireless charging workloads and the IoTDs' non-preemptive charging priorities. As the CTP maximization problem is NP-hard, we further propose the woRkload bAlancing and non-Preemptive TempOral pRiority (RAPTOR) algorithm to efficiently solve this problem. Finally, extensive simulations have validated the performance of RAPTOR in improving the CTP of the whole network.

Original languageEnglish (US)
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350310900
StatePublished - 2023
Event2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia
Duration: Dec 4 2023Dec 8 2023

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813


Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
CityKuala Lumpur

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing


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