Hybridization of metaheuristic algorithms for resource scheduling in distributed robotic control system

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Detalles Bibliográficos
Publicado en:	SN Applied Sciences vol. 7, no. 5 (May 2025), p. 424
Publicado:	Springer Nature B.V.
Materias:	Residual energy Control systems Exploitation Algorithms Communication Hybridization Energy efficiency Blockchain Robots Disaster management Remote monitoring Unmanned aerial vehicles Data transmission Cryptography Route selection Emergency preparedness Energy consumption Heuristic methods Mobile ad hoc networks Robotics Data management Scheduling Curves Military operations Decision making Optimization Controllers Resource scheduling Distributed control systems Communications systems Surveillance Latency Optimization algorithms Robot control Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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Descripción
Resumen:	This paper presents a novel Distributed Blockchain-Assisted Secure Data Aggregation (Block-DSD) scheme designed to enhance data security, energy efficiency, and scalability in Mobile Ad-hoc Networks (MANETs) for disaster-resilient communication systems (DRCS). The proposed framework integrates an Artificial Neuro-Fuzzy Inference System (ANFIS) for dynamic cluster head selection, ensuring adaptive decision-making based on residual energy, trust value, and centrality metrics. Additionally, the Improved Elephant Herd Optimization (IEHO) algorithm is employed for optimal route selection, leveraging genetic operators to enhance exploration and exploitation capabilities. Blockchain technology is utilized to secure data aggregation through a Secure Two-Step (STS) method and Elliptic Curve Cryptography (ECC), ensuring tamper-proof and reliable data transmission. Simulations conducted using ns-3.25 demonstrate superior performance, with a 97% Packet Delivery Ratio (PDR), 20% reduced energy consumption, and minimal latency of 0.0012 s for emergency data compared to existing methods. The Block-DSD scheme provides a robust solution for secure and efficient data aggregation in highly dynamic and resource-constrained MANET environments, making it suitable for critical applications such as disaster management, military operations, and remote monitoring. Future directions include enhancing blockchain scalability and integrating real-world datasets for further validation.Article Highlights<list list-type="bullet"><list-item></list-item> Resource scheduling in distributed robotic control system is presented in this work.<list-item>The proposed distributed system ensuring the balanced computational load and high reliability across various scenarios.</list-item><list-item>Proposed system provides a better performance when comparing with existing methods.</list-item>
ISSN:	2523-3963 2523-3971
DOI:	10.1007/s42452-025-06950-1
Fuente:	Science Database