WSN中面向非均匀形状事件的动态检测方案

高效且准确地事件检测与跟踪是无线传感器网络研究的热点问题之一,现有的事件检测方案无法实现对形状不定的区域事件的检测与跟踪,为了解决这一问题,提出了一种改进的动态事件检测和跟踪方案.首先,该方案利用事件质心确定事件的具体位置,然后,考虑了节点的读数强度及该读数与事件质心的距离,提出节点动量概念以引导事件融合和分割检测.仿真实验结果表明,该方案可在各传感器结点中分布式运行,延迟低,能效高,在各种条件下均有很高的准确度.不论事件大小和事件数量如何,它始终可以确定正确的事件数量,给出正确的事件形状.

Dynamic Detection Scheme for Non-uniform Shape Event in Wireless Sensor Networks

Efficient and accurate event detection and tracking in wireless sensor networks is one of the hot issues,the existing event detection scheme cannot be identify and track region events with dynamic shapes,in order to solve this problem,this paper proposes an improved dynamic event detection and tracking scheme.First,the proposed scheme determines the specific location of the event by using the event centroid,and then considers both reading strength and that reading＇s distance from the event centroid,the concept of node momentum is proposed to guide the detection of event merges and splits.The theoretical analysis and simulation results show that the proposed scheme can be distributed executed among the sensor nodes with low latency and high energy efficiency,and has been shown to be highly accurate across a wide range of scenarios.It consistently finds the right quantity of events and outlines the right event shapes regardless of deployment type,and regardless of event size,speed,or count.