Improving Wireless Network Routing Performance Using Stingless Bee Foraging Behavior Algorithm
Keywords:
Foraging behavior optimization bee algorithms optimization and reduction mechanism early-termination mechanism Mathematics Subject Classification: (68T99- 92B20)Abstract
Because stingless bees forage in a unique way, an optimization algorithm needs to account for this behavior. Stingless bees, whether they forage in groups or alone, have a particular way of doing so. Within bee groups, foraging behavior differs from group to group. Based on the unique behaviors of stingless bees, we created an optimization algorithm in this study. The proposed stingless bee algorithm was then put to the test in order to tackle the challenge of wireless network routing optimization while accounting for residual energy. The calculation time of the stingless bee algorithm was examined by varying the number of nodes used in this work—5, 10, 15, 20, and 25. There are more potential solutions when there are more nodes. The most crucial elements of the designed stingless bee algorithm are the reduction and early termination procedures. The algorithm differs from other bee-swarm-based algorithms due to these two principles.
