动态传感网络通信优化方法研究与仿真

Research on Optimization Method for Dynamic Sensor Network Communication

研究动态传感网络中高效通信的优化问题。静态传感器网络中,主节点周围节点的数据转发量大,由于负载远大于其它节点承担的负载,导致位于主节点周围节点的能耗过早失效,从而影响整个传感器网络。传统方法采用动态传感器网络进行数据接收与转发,将查询信息注入传感器网路中,并得到感知信息。其它节点仍采用静态传感器网络原有的数据传输技术。由于在动态传感器网络中节点的移动性较强,导致其很难与传感器网络其它节点维持稳定的传输路径,造成通信不稳定。提出了一种sink路径选择算法的动态传感网络通信优化方法。对通信节点功率计算过程中的偏差进行补偿,为动态传感网络通信提供数据基础。根据动态传感网络通信过程中的能量关系和负载关系,能够完成动态传感网络通信优化处理。实验结果表明,利用改进算法能够提高动态传感网络通信的效率。

Dynamic effective communication methods in sensor network was researched. In static sensor networks, the nodes around primary node forward big data quantity, its load is greater than other nodes assumed the load, which leads to the premature failure of energy consumption of nodes around the master node, thus affecting the whole sensor network. In order to solve the problems of the node load balancing, this paper proposed a dynamic sensor network communication optimization method based on sink path selection algorithm. It compensated the deviation in calculation of communications node power, and provided data foundation for the dynamic sensor network communication. According to the energy and load in the process of the dynamic sensor network communication, this method was able to complete the dynamic sensor network communication optimization. The experimental results show that the algorithm presented in this paper can improve the efficiency of the dynamic sensor network communication.