ENERGY-EFFICIENT AND SECURE ROUTING IN FLYING AD-HOC NETWORKS USING SEAGULL OPTIMIZATION AND COUPLED LOGISTIC MAP-BASED LOAD BALANCING

Abstract

Flying Ad-hoc Networks (FANETs) are crucial for applications like disaster management, military surveillance, and remote sensing. However, efficient routing in FANETs remains an issue because of high mobility, dynamic topology, and energy constraints. This paper proposes an Optimal Load Balancing Scheme using Seagull Optimization Algorithm (SOA) and Coupled Logistic Map (CLM) for energy-efficient and secure routing in FANETs. SOA is used to optimize route selection by dynamically balancing network traffic, reducing congestion, and minimizing energy consumption. Additionally, CLM-based encryption ensures secure data transmission by enhancing randomness and resistance against cryptographic attacks. The proposed approach is evaluated using MATLAB simulations and is compared against traditional routing protocols such as AODV, PSO, and GA in terms of energy consumption, packet delivery ratio (PDR), load balancing, and security with an entropy value.