研究了无线传感器网络用于农田小气候环境及土壤墒情监测的高效节能路由策略,针对ZigBee网络采用的Cluster-Tree+AODVjr路由算法在节能方面的不足,结合Zig—Bee网络拓扑特点,通过建立基于模糊决策的最优节点分析模型,提出了一种适用于大规模农田渐变环境的无线传感器网络节能路由算法,该算法基于模糊决策理论来分析节点传输能耗与路由节点选取策略的定量关系,通过路由发现机制和创建最优目标组的方法来降低路由过程中数据的跳步数。仿真实验结果表明,所提出的算法较之ZigBee路由算法相比,显著减少了路由过程中的能量消耗。
The study aimed to find an effective energy-saving routing strategy for the application of wireless sensor networks to the monitoring of farmland micro climate and soil moisture. Aiming at the disadvantages of the layered tree routing algorithm and ZigBee routing algorithms in energy saving, an optimal node analysis model based on fuzzy decision was established according to ZigBee networks' topology characteristics, and then a new energy-saving rou- ting algorithm suitable for a large-scale, gradual changing farmland environment was put forward. This new algorithm finds out the quantitative relation between the energy consumption and the routing node selecting strategy, and greatly decreases the route hop number by the routing discovery mechanism and the creation of an optimum goal group. The simulation results show that compared with the layered tree and ZigBee routing algorithms, the new rou- ting algorithms can significantly reduce the energy consumption in the routing process.