Towards Adaptive WLAN Frequency Management Using Intelligent Agents 1st edition by Fiorenzo Gamba, Jean-Frédéric Wagen, Daniel Rossier – Ebook PDF Instant Download/Delivery. 3540202608, 978-3540202608
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ISBN 10: 3540202608
ISBN 13: 978-3540202608
Author: Fiorenzo Gamba, Jean-Frédéric Wagen, Daniel Rossier
Private, corporate and public Wireless Local Area Networks (WLAN) Hot-Spots are emerging. In this rapidly evolving environment, the configuration of WLAN access points raise the classical problem of re-using limited radio resources. In this paper, the problem of dynamic frequency allocation of WLAN access point in a highly competitive multi-provider Hot-Spots environment is addressed. Our solution aims at working in locations where planned and ad-hoc deployments might be side by side. An on-line adaptive optimization process is proposed and relies on available information delivered only by the local access points in order to maintain the quality of service as high as possible. This optimization process is implemented on a scalable and highly flexible agent-based framework. The easy deployment of intelligent agents in a real WLAN network and their integration in a simulation context allows us to perform extensive tests for small and large-scale networks. The proposed approach has been tested on a limited but practical demonstrator that showed encouraging results.
Towards Adaptive WLAN Frequency Management Using Intelligent Agents 1st Table of contents:
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Introduction
- 1.1 Overview of WLANs and their Importance in Modern Communication
- 1.2 The Challenge of WLAN Frequency Management
- 1.3 Motivation for Using Intelligent Agents in WLAN Management
- 1.4 Objectives of the Paper
- 1.5 Structure of the Paper
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Background and Related Work
- 2.1 WLAN Architecture and Frequency Allocation
- 2.2 Existing Frequency Management Techniques in WLANs
- 2.3 Challenges in Frequency Management (e.g., interference, congestion)
- 2.4 Intelligent Agents in Networking and Communications
- 2.5 Related Work on Adaptive Frequency Management and Agent-based Approaches
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Intelligent Agent Systems
- 3.1 Definition and Characteristics of Intelligent Agents
- 3.2 Types of Intelligent Agents (Reactive, Proactive, Hybrid)
- 3.3 Learning and Decision-Making Processes in Intelligent Agents
- 3.4 Role of Multi-Agent Systems in Network Management
- 3.5 Agent Communication and Coordination Mechanisms
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Adaptive WLAN Frequency Management
- 4.1 Need for Adaptive Frequency Management in WLANs
- 4.2 Key Factors Affecting WLAN Frequency (e.g., interference, channel conditions, network load)
- 4.3 Principles of Adaptive Frequency Management
- 4.4 Frequency Allocation Algorithms: Static vs. Dynamic Approaches
- 4.5 Benefits of Adaptive Frequency Management in WLANs
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Design of Agent-Based WLAN Frequency Management System
- 5.1 System Architecture and Components
- 5.2 Role of Intelligent Agents in Frequency Allocation
- 5.3 Agent-based Decision-Making Framework for Frequency Assignment
- 5.4 Distributed vs. Centralized Approaches in Agent-Based Systems
- 5.5 Algorithms for Channel Selection and Reallocation
- 5.6 Agent Interaction Protocols and Communication Strategies
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Performance Evaluation and Simulation
- 6.1 Evaluation Metrics for WLAN Frequency Management
- 6.2 Simulation Setup for Adaptive Frequency Management
- 6.3 Comparison with Existing Frequency Management Techniques
- 6.4 Impact of Intelligent Agents on WLAN Performance (e.g., throughput, latency, interference)
- 6.5 Results and Analysis of Simulation Data
- 6.6 Case Studies and Scenarios for Adaptive WLAN Management
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Challenges and Open Issues
- 7.1 Scalability of Agent-Based Frequency Management Systems
- 7.2 Real-Time Adaptation and Handling Dynamic Environments
- 7.3 Security Concerns in Agent-Based Network Management
- 7.4 Inter-agent Coordination and Conflict Resolution
- 7.5 Integration with Existing WLAN Standards (e.g., IEEE 802.11)
- 7.6 Privacy and Trust Issues in Agent-Based Systems
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Applications of Adaptive WLAN Frequency Management
- 8.1 WLANs in Dense Environments (e.g., stadiums, airports, offices)
- 8.2 Integration with 5G Networks and Beyond
- 8.3 Smart Homes and IoT Devices
- 8.4 Cognitive Radio Networks and Dynamic Spectrum Access
- 8.5 Future Wireless Technologies and Intelligent Spectrum Management
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Future Directions and Research
- 9.1 Evolution of Intelligent Agents in Network Management
- 9.2 Machine Learning and AI Techniques for Agent Decision Making
- 9.3 Multi-Agent Systems for Collaborative Frequency Management
- 9.4 Integrating Cross-Layer Optimization in WLAN Management
- 9.5 Toward Fully Autonomous and Self-Organizing WLANs
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Conclusion
- 10.1 Summary of Contributions and Findings
- 10.2 Benefits of Using Intelligent Agents for WLAN Frequency Management
- 10.3 Future Prospects for Adaptive WLAN Management
- 10.4 Closing Remarks
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