activity
20232026
most citedOptimizing Version AoI in Energy-Harvesting IoT: Model-Based and Learning-Based Approaches

1 citations · 1 across the 10 of their papers we have counts for

collaborators

12 papers

eess.SP2026

Adaptive Predictive Sampling and Communication for Real-time Monitoring

Erfan Delfani, Nikolaos Pappas

We propose an adaptive predictive sampling and communication framework for real-time remote monitoring over packet-erasure channels. Rather than relying on a prescribed dynamical m…

cs.NI2026

Version-Aware Communication in Multi-Hop IoT Networks with Feedback

Erfan Delfani, Nikolaos Pappas

Timely communication of information in Internet of Things (IoT) networks is critical to enhancing system performance and energy efficiency by minimizing the transmission of outdate…

cs.NI2025★ 1 cited

Optimizing Version AoI in Energy-Harvesting IoT: Model-Based and Learning-Based Approaches

Erfan Delfani, Nikolaos Pappas

Efficient data transmission in resource-constrained Internet of Things (IoT) systems requires semantics-aware management that maximizes the delivery of timely and informative data.…

cs.NI2025

From Timestamps to Versions: Version AoI in Single- and Multi-Hop Networks

Erfan Delfani, Nikolaos Pappas

Timely and informative data dissemination in communication networks is essential for enhancing system performance and energy efficiency, as it reduces the transmission of outdated…

cs.NI2025

Semantics-Aware Updates from Remote Energy Harvesting Devices to Interconnected LEO Satellites

Erfan Delfani, Nikolaos Pappas

Providing timely and informative data in integrated terrestrial and non-terrestrial networks is critical as data volume grows while the resources available on devices remain limite…

eess.SY2024

Inference-Aware State Reconstruction for Industrial Metaverse under Synchronous/Asynchronous Short-Packet Transmission

Qinqin Xiong, Jie Cao, Xu Zhu +2

We consider a real-time state reconstruction system for industrial metaverse. The time-varying physical process states in real space are captured by multiple sensors via wireless l…

cs.IT2024

From AoI to QVAoI: Query-Based Semantics-Aware Scheduling for Energy-Harvesting IoT Systems

Erfan Delfani, Nikolaos Pappas

In this work, we study the freshness and significance of information in an IoT status update system in which an Energy Harvesting (EH) device samples an information source and forw…

cs.IT2024

Optimizing Information Freshness in IoT Systems with Update Rate Constraints: A Token-Based Approach

Erfan Delfani, Nikolaos Pappas

In Internet of Things (IoT) status update systems, where information is sampled and subsequently transmitted from a source to a destination node, the imperative necessity lies in m…

cs.IT2024

State-Aware Timeliness in Energy Harvesting IoT Systems Monitoring a Markovian Source

Erfan Delfani, George J. Stamatakis, Nikolaos Pappas

In this study, we investigate the optimal transmission policies within an energy harvesting status update system, where the demand for status updates depends on the state of the so…

cs.IT2024

Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off

Bhavani A Madhabhavi, Gangadhar Karevvanavar, Rajshekhar V Bhat +1

We consider the communication of natural language text from a source to a destination over noiseless and character-erasure channels. We exploit language's inherent correlations and…

cs.IT2023

Optimizing Information Freshness over a Channel that Wears Out

George J. Stamatakis, Osvaldo Simeone, Nikolaos Pappas

A sensor samples and transmits status updates to a destination through a wireless channel that wears out over time and with every use. At each time slot, the sensor can decide to s…

cs.IT2023

Version Age of Information Minimization over Fading Broadcast Channels

Gangadhar Karevvanavar, Hrishikesh Pable, Om Patil +2

We consider a base station (BS) that receives version update packets from multiple exogenous streams and broadcasts them to corresponding users over a fading broadcast channel usin…