基于移动机器人无线传感网络数据采集方法研究

针对传统的无线传感网络数据采集方法存在的能耗高、网络延迟时间长的问题，文章提出了一种基于移动机器人无线传感网络数据采集方法，此方法的基本思想是，首先选择一个合适的移动机器人作为族头，一定周期内的相邻节点的平均剩余能量会被移动机器人检测出来，同时整个网络节点的平均剩余能量也能被检测出来，移动机器人是否移动由这两个参数的大小决定的。随着机器人的移动，节点的路由也会相应的更新，然后重新选择移动机器人族头。测试结果表明，此方法能很好的降低传输延迟和节点能量消耗。

Wireless sensor networks based on mobile robot research data collection methods

Traditional wireless sensor network for data collection methods have high energy consumption, network latency problem a long time, the article presents a mobile robot based on wireless sensor network data collection methods, the basic idea of this method is to first select a suitable the mobile robot as a group header, adjacent nodes within a certain period, the average residual energy of the mobile robot is detected, the network nodes, while the average residual energy can also be detected, the mobile robot is moving by the size of these two parameters decision. As the robot moves, the routing nodes will be updated accordingly, and then reselect the mobile robot family head. Test results show that this method can reduce the transmission delay and node energy consumption.