摘要
针对基于移动预测定位的SLMP算法在定位中没有参考其他节点的移动预测信息,提出了基于洋流态势的移动预测CMP算法,算法在移动定位的过程中,考虑水流影响,结合了前驱节点的移动预测信息及其他信息来完成预测.大量的仿真结果表明,CMP算法在定位覆盖度及平均通信代价方面有良好的性能,也表明了CMP算法能够更好的适应于大规模水下移动环境.
Considering that Scalable Localization with Mobility Prediction based on movement Prediction positioning didn＇ t refer to other nodes movement prediction information.In this paper,A algorithm based on the Current Situation of Mobile Prediction is proposed.Our method utilizes precursor node movement prediction information and other information to complete the prediction.We evaluate our scheme by simulations.The results show that our new approach improves the effect of average localization coverage and communication costs.At the same time,which also indicate CMP algorithm can better adapt to the large-scale mobile environment on the deep sea marine spots.
出处
《数学的实践与认识》
北大核心
2016年第11期178-186,共9页
Mathematics in Practice and Theory
基金
黑龙江省自然科学基金(F201219)
齐齐哈尔大学青年教师科研启动支持计划项目(2012k-M30)
关键词
水下传感器网络
节点定位
移动预测
underwater sensor network
node localization
mobility prediction
ocean currents situation
