The dragon ies have behaviors, i.e. the formation of the swarms as the static and the dynamic. The formation is the representation of the optimization, not only in terms of the identication of the food source but also distraction from the enemy. So, these behaviors, inspires a novel technique and algorithm for an Ultra Reliable Low Latency Communication in an Industrial wireless network, which is proposed as URLLC-DF. The convergence of the URLLC-DF towards a global optimum and in comparison, with other bio-inspired evolutionary algorithm
is much more ecient and in a better way.
Question form Members and audience:
1. In your algorithm, what is the significance convergence?
- Convergence represents optimization of the algorithm which is local as well global.
2. What is the difference between proposed dragonfly algorithm and PSO?
- The main difference is the formation of the swarms which is main characteristics of dragonfly and it defines the optimization of dragonfly algorithm.