A Context-Aware Benchmarking Approach for Scenario-Based Evaluation of Smart Devices

Abstract

Understanding how smart devices behave under real-world conditions remains challenging, as existing benchmarking tools often isolate metrics like energy consumption or protocol compliance without considering realistic interactions or coordinated use. This paper presents a scenario-driven benchmarking framework tailored for smart devices which integrates control, orchestration, instrumentation, and monitoring into a unified, reproducible workflow. Our framework enables structured specification of interaction scenarios, precise scheduling of device actions, and synchronized measurement of energy usage and network activity. We validate our approach through a smart home testbed comprised of off-the-shelf speakers, lights, and fans across scenarios that reflect typical user interactions and adversarial network conditions. Results reveal behavioral differences not evident from device specifications alone, highlighting the importance of context-rich, scenario-based evaluation for understanding smart device performance in practice.

Publication
15th International Conference on the Internet of Things (IoT 2025)
Christian Badolato
Christian Badolato
PhD Student

PhD Student with research interests in Data Privacy, Operating Systems, and the Internet of Things.

Roberto Yus
Roberto Yus
Assistant Professor

My research interests include Data Management, Knowledge Representation, the Internet of Things, and Privacy.

Georgios Bouloukakis
Georgios Bouloukakis
Associate Professor

My research interests include middleware, internet of things, distributed systems.

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