Research on scheduling strategy for shockwave-field wireless collection nodes
Xuelin Zhou, Tailin Han, Hong Liu · 2022
In order to solve the problem of wireless channel congestion caused by the large number of wireless collection nodes with high throughput in the shockwave-field wireless collection system, this paper proposes a scheduling algorithm suitable for shockwave-field wireless collection nodes. Firstly, the algorithm uses the shock wave propagation model to set the grouping weight for each node. Secondly, the algorithm is based on the GWO (Gray Wolf Optimization) algorithm and uses the group weight proportional fair strategy to guide the evolution of the gray wolf population, and finally achieves the goal of reducing congestion delay and improving the total throughput of the system. System simulation results show that the access strategy based on this algorithm reduces 45.71% of the nodes average waiting delay and increases 33.9% of the system throughput compared with sequential access strategy in IEEE802.11 wireless network with PCF (Point Coordination Function. It effectively reduces the delay and congestion in the shockwave-field wireless collection system and improves nodes’ ability for data responsiveness during parallel collection.