论文部分内容阅读
文章利用基于Zig Bee、900M、433M物联网的新型能源数据采集传输装置对吞吐量、能耗和负载均衡性进行决策,先利用基于TOPSIS算法得到多网络聚合方案的效用值,从中选出与理想方案最接近同时与负理想方案最远的一种作为多网络选择接入方案,再使用基于贝叶斯决策的垂直切换算法进行判断确定是否切换网络,保证多网络组网后满足吞吐量要求、降低单位吞吐量对应的能耗的同时,均衡网络负载、减轻网络频繁切换带来的网络拥堵和系统负担。
The article makes use of the new energy data acquisition and transmission device based on Zig Bee, 900M and 433M IOT to make decisions on the throughput, energy consumption and load balance. First, the utility value of multi-network aggregation scheme based on TOPSIS algorithm is selected, The scheme is the closest to the negative ideal scheme as the multi-network access scheme, and then uses the vertical switching algorithm based on Bayesian decision to determine whether to switch the network to ensure that the multi-network to meet the throughput requirements, Reduce the unit throughput corresponding to the energy consumption at the same time, balance the network load, reduce network congestion caused by frequent switching and system load.