基于证据理论加权融合的无线传感器网络路由算法

针对当前无线传感器网络路由算法存在数据传输成功率低、 网络时延长和丢包率高等缺陷, 为获得更优的数据传输结果, 提出一种基于证据理论加权融合 的无线传感器网络路由算法. 首先引入聚类分析算法对无线传感器网络进行分簇, 使簇首的分布更均匀, 解决簇首过于集中、 簇成员节点分配不合理的问题； 然后采用证据理论计算剩余能量、 节点间通信距离、通信能耗的权值, 并根据权值对每个节点的性能进行综合评价, 根据综合评价结果选择每个簇最合理的簇首； 最后与其他无线传感器网络路由算法进行对比测试. 测试结果表明, 相对于对比算法, 该算法数据时延均值和丢包率均大幅度减少, 改善了数据传输成功率, 使节点之间的能耗更均衡, 延长了无线传感器网络的生存周期, 建立的无线传感器网络路由可靠性更高.

Wireless Sensor Networks Routing Algorithm Based on Weighted Fusion of Evidence Theory

Aiming at the shortcomings of the current wireless sensor network routing algorithm, such as low data transmission success rate, long network time, high packet loss rate, and in order to obtain better data transmission results, we proposed wireless sensor networks routing algorithm based on weighted fusion of evidence theory. Firstly, the clustering analysis algorithm was introduced to cluster the wireless sensor network, which made the distribution of cluster heads more uniform, and solved the problem that the cluster heads were too centralized and the distribution of cluster member nodes was unreasonable. Secondly, the weight of the remaining energy, communication distance between nodes, communication energy consumption were calculated by using evidence theory, the performance of each node was comprehensively evaluated according to the weight, and the most reasonable cluster head was selected according to the comprehensive evaluation results. Finally, the comparison test was carried out with other wireless sensor network routing algorithms. The test results show that, compared with the comparison algorithm, the data delay average and packet loss rate of the wireless sensor network algorithm are greatly reduced,  the data transmission success rate is improved, the energy consumption between nodes is more balanced, the lifetime of wireless sensor network is extended, and the routing reliability of the established wireless sensor network is higher.