面向延迟容忍移动传感器网络的重叠社区节点检测方法

延迟容忍移动传感器网络(DTMSN)呈现重叠社区结构特征,对重叠社区节点进行准确检测可有效提高网络运行效率。提出了适用于DTMSN的重叠社区节点检测方法。依据节点相遇信息挖掘节点移动轨迹规律,从而对其所属初始社区进行判定;进而,设计了节点社区隶属度估计方法,据此进行重叠社区节点的准确检测。仿真结果表明,相比已有方法,所提方法可分别提高平均检出率、平均负载率14%、15%以上。

Overlapping Community Node Detection Method for Delay Tolerant Mobile Sensor Networks

The DTMSN (Delay Tolerant Mobile Sensor Networks) present overlapping community structure. The accurate detection of overlapping community nodes can improve the efficiency of network operation. An applicable overlapping community node detection method is proposed in this paper. The initial community can be determined according to the trajectory law of node movement explored by the node encounter information. Furthermore, the community membership degree of node estimation method is designed to accurately detect the overlapping community nodes. The simulation results show that compared with the existing methods, the proposed method can respectively improve the average detection rate and the average load rate more than 14%, 15%.