Link data optimization based on PSO algorithm in Ethernet protocol
Hongzhi Wang, Hao Wang, Hongwu Lyu · 2019
The particle swarm optimization algorithm for optimizing link data in Ethernet protocol can effectively reduce the number of network nodes when the network topology is stable, but when the network topology changes, there will be redundancy. For this reason, this paper proposes a particle swarm inertia weight optimization algorithm, which can adapt to the change of network topology to minimize the energy consumption of link data transmission. Under the condition of without increasing the complexity, this algorithm traverse the selected network nodes again to remove redundancy, and obtain the optimal power distribution of link data transmission. The experimental results show that the improved particle swarm inertia weight optimization algorithm (ZPSO) reduce the consumption of the data transmission power effectively, and improve the reliability of communication, which compared with the traditional particle swarm optimization (PSO).