摘要
在传感器微网络结构基础上,引入传感参数的场景评价的可靠系数μ,由自学习的开关集合S与传感器多参数集合生成的μ值,为高效数据融合与拥塞控制提供了有效方法,减少了传感器网络中的重要数据丢失率.通过基于LEACH协议的改进实验与仿真,证实了WSN的数据可靠性有效提高.
Based on the structure of sensor mieroNET, the high-reliability μ of scene review in sensor parameter was introduced in this paper. The value of μ was generated by self-learning switch set S and sensor multi-parameter set, and it provided an effective method for the data fusion and congestion control, reduced the loss rate of important data in sensor network. The improving experiment by LEACH protocol and simulation confirmed to further improve the data reliability of WSN.
出处
《淮北煤炭师范学院学报(自然科学版)》
2010年第1期43-47,共5页
Journal of Huaibei Coal Industry Teachers College(Natural Science edition)