To Sense or Not To Sense: An AoI Perspective in Energy-Harvesting Networks

This paper investigates the age of information (AoI) in energy harvesting (EH) wireless networks employing Carrier Sense Multiple Access (CSMA). We model the stochastic energy harvesting process and the channel state evolution, and derive closed-form expressions for the average AoI. The optimal packet generation rate and corresponding minimum average AoI are determined under the assumption of an infinite energy buffer. Moreover, we compare the optimal average AoI performance of EH-CSMA and EH-Aloha systems. The results show that CSMA significantly reduces the average AoI, particularly in dense networks, while Aloha may outperform CSMA in scenarios with high propagation delays.

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Publication Details

Published
2025-08-10
DOI
https://doi.org/10.1109/iccc65529.2025.11148595
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
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article

To Sense or Not To Sense: An AoI Perspective in Energy-Harvesting Networks

Xinghua Sun, Wenhai Lin, A. F. Yuan, Jiyun Qiu et al.
Energy Harvesting in Wireless Networks
article

To Sense or Not To Sense: An AoI Perspective in Energy-Harvesting Networks

Xinghua Sun, Wenhai Lin, A. F. Yuan, Jiyun Qiu, Shuyu Xiao
article en

Abstract

This paper investigates the age of information (AoI) in energy harvesting (EH) wireless networks employing Carrier Sense Multiple Access (CSMA). We model the stochastic energy harvesting process and the channel state evolution, and derive closed-form expressions for the average AoI. The optimal packet generation rate and corresponding minimum average AoI are determined under the assumption of an infinite energy buffer. Moreover, we compare the optimal average AoI performance of EH-CSMA and EH-Aloha systems. The results show that CSMA significantly reduces the average AoI, particularly in dense networks, while Aloha may outperform CSMA in scenarios with high propagation delays.

Sun Yat-sen University (CN)
Openalex Percentile: Top 77%
Energy Harvesting in Wireless Networks
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