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Mahmoud Gshash

dblp:360/7702 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › energy harvesting systems
battery-free sensor nodes
0.912025
PAIL: Predictable and Adaptive Intermittent Lifecycling for Robust Coordination Between Batteryless Systems · PerCom 2025
Embedded and real-time systems › energy harvesting systems
intermittently powered systems
0.912025
PAIL: Predictable and Adaptive Intermittent Lifecycling for Robust Coordination Between Batteryless Systems · PerCom 2025
Internet of things and sensor networks
time synchronization
0.312025
PAIL: Predictable and Adaptive Intermittent Lifecycling for Robust Coordination Between Batteryless Systems · PerCom 2025

Methods — techniques the papers use, named apart from their topics

hardware-software co-design · 1.7
YearPublicationVenuePosition
2025 PAIL: Predictable and Adaptive Intermittent Lifecycling for Robust Coordination Between Batteryless Systems
abstract
Batteryless sensor nodes, powered solely by energy harvesting, are a promising alternative to battery-powered sensor nodes. However, energy harvesting rates being very low, unreliable, and time-varying, nodes cannot sustain a continuous operation, making them intermittently powered. As a result, these nodes incur unpredictable wakeup times due to continuously varying off-times. To perform tasks like distributed sensing, time synchronization, and communication for intermittently powered nodes, timely execution and robust coordination is vital. To achieve robust coordination, nodes must guarantee to be ON at a coordinated target time regardless of harvesting variations. To ensure robust coordination of on-times, we propose PAIL, a novel hardware-software approach where the hardware component enforces a constant off-time, with small variations. The software component dynamically corrects for those variations. We fabricated a PAIL sensor node and validated its ability to discover neighboring nodes. Using extensive simulations calibrated from experimental measurements, we observe that PAIL maintains nearly 99.3% coordination at steady state. In the context of pairwise communication, we show that leveraging PAIL coordination, nodes improve packet tail latency by 99%.
Vishak Narayanan, Mahmoud Gshash, Vishal Deep, Mathew L. Wymore, Daji Qiao, Nathan M. Neihart, Henry Duwe
PerCom2