AI-Driven Software Development for Scalable IoT Hybrid Fuzzy WPM and TOPSIS Integration with Deep Learning and Particle Swarm Optimization in Agentic Negotiation Frameworks

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Published: 2021-09-08
DOI: https://doi.org/10.15662/IJRPETM.2021.0405003
Keywords:
AI-Driven Software Development, Scalable IoT Systems, Hybrid Fuzzy Model, Weighted Product Method (WPM), TOPSIS, Particle Swarm Optimization (PSO), Deep Learning, Agentic Negotiation Framework, Multi-Agent Coordination, Real-Time Optimization, Software Scalability

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Carmen Isabel Sánchez Ruiz
Data Engineer, Spain

Abstract

The rise of Internet of Things (IoT) systems demands intelligent software development frameworks capable of real-time optimization, scalability, and autonomous coordination. This research proposes an AI-driven software development framework tailored for scalable IoT applications, integrating a hybrid fuzzy model with Weighted Product Method (WPM) and TOPSIS for multi-criteria decision-making. Particle Swarm Optimization (PSO) and Deep Learning enhance adaptive parameter tuning and predictive performance, while an Agentic Negotiation Framework enables autonomous IoT nodes to negotiate resources and tasks efficiently.

 


The hybrid fuzzy model effectively manages uncertainty and vagueness inherent in IoT environments, allowing systematic ranking of development strategies using WPM and TOPSIS. PSO dynamically optimizes system configurations, ensuring high efficiency and low latency in real-time operations. Deep learning models predict system bottlenecks, enabling proactive adjustments and continuous performance improvements. The agentic negotiation framework ensures coordinated decision-making among distributed IoT agents, optimizing resource allocation and task scheduling in heterogeneous environments.


 


Experimental evaluation demonstrates significant improvements in system scalability, task efficiency, and real-time responsiveness, confirming the framework’s effectiveness for next-generation AI-powered IoT software development.

Article Details

Issue

Vol. 4 No. 5 (2021): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

AI-Driven Software Development for Scalable IoT Hybrid Fuzzy WPM and TOPSIS Integration with Deep Learning and Particle Swarm Optimization in Agentic Negotiation Frameworks. (2021). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 4(5), 5570-5574. https://doi.org/10.15662/IJRPETM.2021.0405003

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