无线传感网络数据转发最佳权重选取算法仿真

为了有效提高无线传感网络数据转发的有效性和可靠性,针对传统的数据转发算法存在的数据转发率低、延时长等问题,提出一种基于蚁群优化的无线传感网络数据转发最佳权重选取算法。选择无线传感网络数据节点负载、剩余能量以及数据转发时延作为网络服务性能评价指标,利用熵权系数法自适应地确定评价指标的权重。引入数据转发链路容量和链路距离等因素建立数据转发时延最小的优化模型,利用蚁群算法的节点概率函数机制找出能同时满足时延带宽和数据转发链路容量要求的评价值最高的邻居节点,通过上述节点选取数据转发最优权重,完成数据转发。实验结果表明,所提算法在节点能量消耗、转发延迟、数据转发率等方面都优于现有无线传感网络数据转发算法。

Simulation of Optimal Weight Selection Algorithm for Data Forwarding in Wireless Sensor Networks

In order to effectively improve the effectiveness and reliability of data forwarding in wireless sensor net-work,this paper proposes an algorithm of best weight selection for data forwarding in wireless sensor network based on ant colony optimization.Firstly,wireless sensor network data node load,residual energy and data forwarding delay were selected as evaluation indicators of network service performance.Secondly,the entropy weight coefficient meth-od was used to adaptively determine the weight of evaluation index.Moreover,data forwarding link capacity and link distance were introduced to build the optimization model with the smallest data forwarding delay.In addition,the node probability function mechanism in ant colony algorithm was used to find the neighbor node with the highest eval-uation value that could meet the delay bandwidth and the data forwarding link capacity.Finally,the optimal weight of data forwarding was selected through above nodes,and thus the data forwarding was completed.Simulation results show that the proposed algorithm is better than the existing wireless sensor network data forwarding algorithm in terms of node energy consumption,forwarding delay and data forwarding rate.