Jul 2026· International Conference on Signal Processing and Communications· pp. 1-5· 0 citations· 11 references
Abstract
The rise of mobile Internet of Things (IoT) applications has made reliable, low-latency task offloading to nearby fog nodes essential. However, user mobility, time-varying wireless links, short-packet transmission errors, and fog-queue congestion make the execution of delay-sensitive tasks challenging. Existing schemes typically address reliability, replication, or offloading separately, without jointly considering mobility-aware link variation. To address this gap, this paper proposes a mobility-aware reliability-driven offloading framework for fog-enabled IoT networks. The proposed scheme combines a lightweight multilayer perceptron (MLP)-based SINR predictor with a Lyapunov driftplus-penalty (LDPP) controller to select among local execution, single-fog offloading, and replicated-fog execution. Simulation results show that the proposed method reduces task delay, reliability violations, and energy consumption by $17 \%, 13 \%$, and 41%, respectively as compared to existing scheme.
This study proposes a modified Lyapunov-based severity-aware MEC offloading framework for heterogeneous 5G/B5G IoT systems that significantly reduces average task delay, energy consumption, and QoS violation rate, while improving long-term system stability.
S. S. Reddy, R. Sukumar· International Journal of Adv...· 0 citations
The rapid growth of Internet of Things (IoT) deployments has intensified the need for efficient, decentralized computation management at the network edge. This paper presents a lightweight, neighbor-aware one-hop task offloading framework designed for resource-constrained IoT networks. The proposed adaptive scheme comb...
Faizan Haider, Alexandre dos Santos Roque, E. P. de Freitas· International Conference on...· 0 citations
This paper presents a novel approach for task offloading in Software Defined Networking (SDN)-based vehicular networks based on a multi-objective optimization algorithm which uses Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Long Short-Term Memory (LSTM)-based vehicle trajectory prediction. The proposed sol...
Syed Aizaz Ul Haq, Mohammad S. Khan, Muhammad Farhan et al.· International Conference on...· 0 citations
Task offloading is a key enabler for delay-sensitive Internet of Vehicles (IoV) services, where vehicular applications must be executed under strict latency constraints. This paper proposes a Proximal Policy Optimization (PPO)-based binary offloading framework that selects between Multi-access Edge Computing (MEC) and...
Kaouther Gasmi, Marco Mamei, Sergio Saponara· International Conference on...· 0 citations
Findings confirm that system stability and service quality are bounded by fog density, QoS-aware routing, and real-time load regulation, rather than by mere resource scaling.
The Internet of Things (IoT) has grown rapidly in recent years, enabling the interconnection of a large number of heterogeneous and distributed devices. This number is expected to exceed 70 billion according to Statista. With this massive scale, fulfilling complex IoT applications that require combinations of multiple...
Sirine Hakim, Sonia Yassa· International Conference on...· 0 citations
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