Hybrid Genetic Algorithm with Directed Acyclic Graph for Enhancing Data Transmission and Reducing Energy Hole Problem
Sahaya sheela, Prabakaran R, C. A. Arun · Research Square · 2023
Abstract Software Defined Networking (SDN) is a smart architecture which enables a network to be controlled in a centralized manner. It plays a vital role in several real-time applications and has three planes- the data plane, control plane and application plane. The architecture of SDN is simple and is inbuilt with a centralized controller at the control plane. SDN operates efficiently on Mobile Adhoc NETworks (MANET) in various environments and applications. Due to the mobility of nodes, several research issues are faced by SDN-MANET. Some of the challenges include a large overhead and less packet delivery ratio. To overcome these challenges, a Hybrid Improved Whale optimization with Particle Swarm Optimization algorithm (HIW-PSO) is proposed with Directed Acyclic Graphs (DAG) topology. This algorithm enhances the data transmission by reducing the energy hole issue. The Directed Acyclic Graphs (DAG) topology is constructed by calculating the polynomial-time for lining of all participant nodes through its edges. The proposed algorithm is evaluated for packet delivery ratio, throughput, delay, network lifetime and energy consumption. Furthermore, the performance of HIW-PSO is evaluated against other standard contemporary optimization algorithms EHO and M-LWO. As a result, the proposed method achieves an energy consumption of 35.8%, PDR of 53.2 %, a throughput of 84.8%, network lifetime of 75.4% and delay of 23.8%.