基于网络微积分的WSNs属性界限研究

研究表明:传统的无线传感器网络(WSNs)属性界限过于宽松。为此,基于网络微积分,改进了流经节点的数据流输出函数上界,并推导出更精确的WSNs属性界限,包括节点延迟上界、节点缓冲区容量下界以及节点服务速率下界等。数值分析结果表明:网络跳数越多、节点梯度越小,则传统属性界限与属性界限差异越大。这说明网络规模越大,按属性界限进行网络配置能节约更多资源。

Research on property bounds of WSNs based on network calculus

Research shows that traditional property bounds of wireless sensor networks(WSNs) are too loose.Based on network calculus,output bound of data flow traversing node is improved,and more accurate property bounds of WSNs is derived,including node transfer delay upper bound,node buffering requirements lower bound and node service rate lower bound.Numerical analysis results illustrate that the more network hops numbers and the smaller node depth are,the bigger difference between traditional property bounds and this paper’s property bounds is.It means that the larger network scale is,the more resources can be saved in WSNs configuration according to this paper’s property bounds.