Optimization of PWSN transmission performance on coal mining face

In view of problems of long end-to-end time and high packet loss rate of positioning wireless sensor network (PWSN) on coal mining face, a guaranteed greedy scheduling (GGS) algorithm was proposed to optimize network transmission performance. The GGS algorithm combines the particle swarm optimization (PSO) algorithm and the greedy algorithm. The PSO algorithm is used to orderly process the message population in the channel to ensure the population. The greedy algorithm is used to form a multi-level, iterative processing mechanism for specific service requests during network transmission, so as to optimize the quality of the message population. The PSO mutation algorithm is used to check and update the population to ensure that the optimal solution is obtained. The simulation results show that compared with the existing MA and DE-ABC algorithms, the GGS algorithm can shorten the transmission time and improve the overall network performance while controlling the packet loss rate.