Energy Harvesting Wireless Sensor Networks: Delay Analysis Considering Energy Costs of Sensing and Transmission
Wanchun Liu, Xiangyun Zhou, Salman Durrani, Hani Mehrpouyan, Steven, D. Blostein

TL;DR
This paper analyzes the delay performance of energy harvesting wireless sensor networks by considering both sensing and transmission energy costs, deriving metrics for update age and cycle to understand their tradeoffs.
Contribution
It introduces a comprehensive delay analysis considering sensing energy costs, which is a novel aspect compared to prior studies focusing only on transmission energy.
Findings
Considering sensing energy costs affects update frequency and timeliness.
Derived analytical expressions for update age and cycle statistics.
Identified tradeoffs between update frequency and information freshness.
Abstract
Energy harvesting (EH) provides a means of greatly enhancing the lifetime of wireless sensor nodes. However, the randomness inherent in the EH process may cause significant delay for performing sensing operation and transmitting the sensed information to the sink. Unlike most existing studies on the delay performance of EH sensor networks, where only the energy consumption of transmission is considered, we consider the energy costs of both sensing and transmission. Specifically, we consider an EH sensor that monitors some status environmental property and adopts a harvest-then-use protocol to perform sensing and transmission. To comprehensively study the delay performance, we consider two complementary metrics and analytically derive their statistics: (i) update age - measuring the time taken from when information is obtained by the sensor to when the sensed information is successfully…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
