Hybrid Harris Hawks With Sine Cosine for Optimal Node Placement and Congestion Reduction in an Industrial Wireless Mesh Network

The optimal performance of a wireless mesh network (WMN) can be greatly improved by strategically placing routers. As result, it is crucial to optimally locate the WMN routers for better coverage and connectivity. Besides placement, congestion due overlaying has taken into consideration. These issues have become motivation researchers identify variety approaches optimize performance. Multiple metaheuristic algorithms been employed identifying trade-offs between connectivity in WMN. Consequently, novel hybrid Harris Hawks optimization with sine cosine algorithm (HHOSCA) presented this work tackle aforementioned problems. proposed HHOSCA seeks router placement that leads significantly increased achieves full In addition, produces cost-effective reducing minimum number whilst ensuring maximum superiority comparison other was validated using 33 benchmark functions. It compared against four well-known including Sine Cosine Algorithm (SCA), (HHO), Gray Wolf Optimization (GWO), Particle Swarm (PSO). are statistically analyzed simulated results method. state-of-the-art highlight efficacy algorithm. statistical analyses simulation findings confirm outperforms terms connectivity, coverage, reduction, convergence. experimental reveal method favourable relevant methods.