Simulation results show that the proposed MARL-BA-ABC framework outperforms Low-Energy Adaptive Clustering Hierarchy (LEACH), Hybrid Energy-Efficient Distributed Clustering (HEED), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Bat Algorithm (BA), and Artificial Bee Colony (ABC), achieving a First No...
H. S. Mohammed, Poria Pirozmand, S. Memon et al.· Italian National Conference...· 0 citations
Results show that ECD-DVFS provides a balanced trade-off among performance, energy efficiency, reliability, cost, and QoS through adaptive and energy-aware workflow scheduling in hybrid fog–edge–cloud environments.
Zhihao Peng, Behnam Barzegar, Parmida Tavakoli et al.· Journal of Supercomputing· 0 citations
A Novel Energy-Aware Clustering (NEAC) protocol is proposed to improve the energy efficiency of WSNs over the Internet of Things (IoT) and the performance of the proposed method is demonstrated in improving network stability and energy balance efficiency, and increasing network lifetime.
Zhihao Peng, Seyed Mostafa Bozorgi, Seyed Mohammad Razi Kordmahaleh et al.· Cluster Computing· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.