Energy Control and Dynamic Routing Algorithms for Farmland Wireless Sensor Networks
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原文链接
国家科技期刊平台
NETL
NSTL
万方数据
维普
精准作业过程中农田生境信息监测具有实时性、准确性及可持续性等性能要求，影响ZigBee农用无线传感器信息监测系统性能的关键因素主要包括设备功耗和网络延时。在AODVjr算法的基础上提出了一种能量控制和动态路由相结合的路由算法ES-AODVjr，该算法在监测设备功耗和数据报最短路径路由策略之间建立一种平衡，使得无线传感器网络在保证监测网络中的数据及时有效地传递的同时，最大限度的延长监测网络的生存期。并在NS2(Network Simulator version 2)中对新的算法进行了仿真，结果显示改进后的路由算法在网络分组递交率和延迟上和改进前相当，但在功耗上较之改进前有明显的改善，能够在保证不影响农用无线传感器网络时延的基础上，有效地提升农田信息监测设备的运行时间，延长监测网络的生存期。
The monitoring of farmland environment information in precision fanning has many performance requirements, such as real-time,accuracy,and sustainability. The main influencing factors on the performance of ZigBee algricultural wireless sensor information monitoring system include the equipment energy consumption and the network delay. Based on the AODVjr algorithm,a new routing algorithm ES-AODVjr is proposed,which combines energy control and dynamic routing. By balancing the monitoring equipment energy consumption and the datagram shortest path routing policy,this algorithm maximally expands the service life-time of monitoring network,and at the same time,guarantees timely and efficient data transmission in the monitoring network. Meanwhile the simulation of the new algorithm is implemented in NS2( Network Simulator version 2). The simulation results show that the new routing algorithm has the same performance on packet delivery rate and network delay as that of the old routing algorithm. But the new algorithm has great improvement on energy consumption over the old algorithm. The new algorithm can effectively lengthen the operation time of farmland information monitoring equipment and expand the service life-time of the monitoring network,without influencing the network delay of the farming wireless sensor network.
国家科技期刊平台
NSTL
万方数据
维普
