Swarm Intelligence-Based Routing for UAV Networks

Author(s)	Dr. Neeraj Prakash Shrivastava, Ms. Dhara Rathore, Ms. Rajshree Panwar, Mr. Sandeep Singh
Country	India
Abstract	This paper presents a Particle Swarm Optimization (PSO) based routing framework for unmanned aerial vehicle (UAV) networks. We formulate the routing problem as a multi-objective optimization that minimizes end-to-end delay, maximizes link reliability, and conserves UAV energy. A PSO algorithm is adapted to find near-optimal routes in dynamic UAV topologies. We implement a Python-based simulation to evaluate performance under varying node densities and mobility patterns. Results show that PSO-based routing outperforms baseline greedy and shortest-path methods in terms of packet delivery ratio (PDR) and average energy consumption for a range of scenarios.
Keywords	UAV networks, swarm intelligence, particle swarm optimization, routing, Python simulation, ad hoc networks.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-12-20

About AIJFR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-79-39-59	editor@aijfr.com

Advanced International Journal for Research