Maintaining Real-Time Data Freshness in Wireless Powered Communication Networks

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

10 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 41st Real-Time Systems Symposium
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages166-177
ISBN (electronic)9781728183244
ISBN (print)9781728183251
Publication statusPublished - Dec 2020

Publication series

NameProceedings - Real-Time Systems Symposium
ISSN (Print)1052-8725
ISSN (electronic)2576-3172

Conference

Title41st IEEE Real-Time Systems Symposium (RTSS 2020)
LocationVirtual
PlaceUnited States
CityHouston
Period1 - 4 December 2020

Abstract

This paper studies how to maintain real-time data freshness in the emerging wireless powered communication networks (WPCNs). In a WPCN, one or multiple hybrid access points (HAPs) with constant power supply transfer the energy and receive the status update through wireless to and from a set of distributed sensor nodes simultaneously. We utilize the concept of Age of Information (AoI) to quantitatively measure the freshness of the sensor data, and formulate the AoI optimization problem. Based on this problem formulation, we first explore the optimal time allocation method to minimize the average AoI for sensor nodes in single-hop WPCNs. This method is then extended to derive the optimal time allocation for two-hop WPCNs, where some sensor nodes may transmit status update to the HAP through relay nodes. In this more complex scenario, we apply a two-phase method to 1) identify all the two-hop node candidates and their associated relay nodes, and 2) determine the best assignment and the corresponding time allocation to optimize the average AoI. A 5-node WPCN testbed is developed to validate the functional correctness of the proposed methods. Extensive simulations are also conducted for performance evaluation under more comprehensive settings. The experimental results show that the proposed methods can reduce the average AoI by 83.4% on average compared to the state-of-the-art methods.

Research Area(s)

  • Age of Information (AoI), data freshness, optimization, time division multiple access (TDMA), Wireless powered communication network (WPCN)

Citation Format(s)

Maintaining Real-Time Data Freshness in Wireless Powered Communication Networks. / Zhou, Zimeng; Yun, Zelin; Fu, Chenchen et al.
Proceedings - 2020 IEEE 41st Real-Time Systems Symposium. Institute of Electrical and Electronics Engineers, Inc., 2020. p. 166-177 9355501 (Proceedings - Real-Time Systems Symposium).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review