Sep 2026· CEUR Workshop Proceedings, Vol-4260: Proceedings of the 8th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2025)· pp. 195-207· 0 citations· 22 references
TL;DR
The study confirms that IoTSim-Edge is an effective tool for evaluating IoT infrastructure performance without physical hardware deployment.
Abstract
In this paper, a study of the capabilities of the IoTSim-Edge simulation environment for analyzing the performance of IoT systems in the context of edge computing is presented. An experimental comparison of the MQTT, CoAP, and HTTP protocols was conducted in terms of response time, transmission reliability, and energy efficiency. The experimental results show that MQTT provides stable performance with an average response time of 42.0 ms and 100% packet delivery reliability in a network of twelve IoT devices. CoAP demonstrated 40.6% faster response time (22.7 ms) and 68.3% higher throughput, while consuming 9.9% less energy compared to MQTT. HTTP exhibited significantly lower performance with response times of approximately 4.91 seconds, limiting its applicability in real-time IoT scenarios. The study confirms that IoTSim-Edge is an effective tool for evaluating IoT infrastructure performance without physical hardware deployment.
Edge computing has emerged as a promising solution for reducing communication latency in Internet of Things (IoT) applications that require real-time decision-making. This paper presents a comparative performance analysis of edge-and cloud-based computing architectures for a real-time IT irrigation system. A prototype...
Zakarie Abdi Mohamud, Rozeha A. Rashid, Sufyan Yazid Abubakar et al.· 2026 IEEE International Conf...· 0 citations
A hardware-based, efficient task offloading framework using an IoT-Fog-Cloud architecture, which reduces response latency at the fog layer and includes a latency comparison between fog-layer processing time and cloud-layer response time.
Syed Faizan Haider· Journal of IoT-based Distrib...· 0 citations
The findings demonstrate that the storage mode is a critical factor affecting the QoS of an IoT edge gateway and should be selected based on application requirements, such as minimizing latency or optimizing resource usage.
Osolinskiy Oleksandr, Tsiupa Ivan, Zahorodnia Diana et al.· 0 citations
This paper investigated the energy utilisation of edge IoT mobile devices on the 3G and 4G networks, specifically focusing on the impact of the distance from the base station and user-friendly applications. Measurements were taken, and data was collected on a live network during active and passive sessions using enabli...
E. B. Mfonobong, C. Nkwachukwu, L. Ezema· Nigerian Journal of Technolo...· 1 citation
Climate change, the increasing frequency and intensity of extreme weather events, and pressures for sustainable development have created an urgent need to modernize meteorological and hydrological (MH) monitoring systems. Traditional monitoring networks in Vietnam and many developing countries still face limitations re...
L. Quyen, Tuấn Hồ Quốc Phạm, Man Thi Truc Doan et al.· Tạp chí Khoa học Biến đổi kh...· 0 citations
Selecting and deploying an appropriate wireless sensor network (WSN) is an important challenge in IoT system design. Evaluating different WSN configurations through physical deployment can be costly and time-consuming. This study proposes a simulation-driven framework that integrates a simulated WSN with an MQTT-based...
A. S. Bayraktar, C. Çeken· Bulletin of Manash Kozybayev...· 0 citations
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