物联网数据并行传输路径预测仿真

摘要

对物联网数据并行传输路径的预测,能够有效提高并行数据的传输效率.对物联网数据并行传输路径的选择,需要同时获取多条最优路径,制备出两种备用方案.传统方法采用自适应随机参数方法,但只能得到一条最优转换路径,导致路径预测结果不理想.提出基于小生境萤火虫算法的路径转换方法,能够得到多条最优路径,避免了算法陷入局部最优,加快了萤火虫收敛速度;两种路径切换方案的启用,解决了当前方法计算量较大的问题,适用于复杂物联网环境下的数据并行传输.实验结果证明,所提方法具有更高的效率提出的两种路径切换方案能够高速提升数据传输效率.%The prediction of parallel transmission path in Internet of things can effectively improve the efficiency of parallel transmission of data.In order to select the parallel transmission path in Internet of things,we need to obtain multiple optimal paths at the same time.But traditional methods use the self-adaptive random parameter method,which only obtains one optimal transition path.The result of path prediction is not satisfactory.The method for path conversion based on niching firefly algorithm is proposed,which can get multiple optimal paths and prevent algorithms from local optimum,so as to speed up the convergence rate of firefly.The problem about a large amount of calculation in current method is solved via two path handover strategies,which is suitable for parallel transmission under the complex environment of Internet of Things.From simulation result,we can see that the proposed method has higher efficiency than traditional methods.