给出一种用于未知环境中混杂传感器网络交互策略,设计并实现一种两层网络结构平台。结合最小二乘法和改进泛洪理论实现混杂传感器网络中动态节点的定位与导航。通过无线接收信号强度(received signal strength indicator)来估计发送端与接收端的距离,并作为阈值应用于视频通信链路维护中。实验分析了真实环境中RSSI的有效性,并在该结构平台上实现了路径查找和视频通信链路维护,结果表明该方法可以有效应用于混杂传感器网络动静节点协同工作。
An effective strategy for hybrid sensor networks was proposed. It is designed to be used in an unknown environment. The system contains two-tier networks, sensor network and ad-hoc network. The coordination of two networks could enhance abilities in sensing, task executing, communication, etc. Meanwhile, simultaneous localization and navigation acting as the important applications in hybrid sensor networks were illustrated in this paper. The flooding technique was adopted to deduce a path to the region of interest. A simple approach of video signal propagation as a significant application of the whole system was also presented. The received signal strength indicator was adopted to reflect the relationship between the sender and receiver. Also, the received signal strength of WiFi radio was employed to be a criterion for the movement of the robots. The real experimental results validate the feasibility and reliability of the proposed strategy.