Bio-Inspired Approaches for Enhancing Scalability, Adaptability, and Resilience in Modern Networking Systems

Khalid Khan

Abstract

In recent years, computer networks have evolved from static, hierarchical structures to highly distributed, autonomous systems. This shift necessitates self-adaptive and self-organizing capabilities in networking nodes. Challenges such as scalability, mobility, resource constraints, and the need for infrastructure-less operation are addressed through biologically inspired approaches. Techniques like Ant Colony Optimization, Artificial Immune Systems, and epidemic spreading offer promising solutions for efficient and robust network control. This paper explores various bio-inspired models and their applications in modern networking paradigms, highlighting their potential to enhance the performance and resilience of large-scale, dynamic, and heterogeneous networks.

Keywords   Bio-inspired Networking, Scalability, Self-adaptive Systems, Ant Colony Optimization, Artificial Immune Systems

Journal   IOARP Journal of Communication and Networks
Volume   Volume 4
Issue   Issue 2, December 2024
Date Published   31 December 2024
Published in   IOARP Journal of Communication and Networks
Date Appeared in GDL   15 January 2025

Pages   9
Global Digital Library Number   GDL-IOARP-JCN04-008
ISSN   3049-9356
Copyright © 2015-2025 IOARP

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