集群型无线传感器网络中基于空间分布的节能方案研究

An Effective Energy-Saving Research Based on Spatial Distribution in Clustering WSN

集群型无线传感器网络中能量分配和数据冗余带来的耗能问题制约了网络规模化和节能化。本文提出了集群型无线传感器网络中基于空间分布的有效节能方案(EESC算法),根据传感器节点、头节点、感知目标三者相对空间分布和能量分布,对各个集群的传感器节点进行筛选,能有效减少集群中传感器节点发送至头节点的数据量,降低数据阻塞的风险,从而提高能量保存的效率并提升数据融合有效性。仿真实验结果表明,该方法易于实现,鲁棒性强,效果明显,优于经典算法。

Energy consumption caused by energy allocation and data redundancy in cluster-based wireless sensor networks restricts the network scale and energy saving. In this paper, an effective ener-gy-saving scheme based on spatial distribution in clustering WSN (EESC algorithm) is proposed. According to the relative spatial distribution and energy distribution of sensor nodes, head nodes and perceived targets, the sensor nodes of each cluster can be effectively selected. This algorithm can effectively reduce the amount of data sent by the sensor nodes in the cluster to the head node and reduce the risk of data blockage so as to enhance the energy conservation efficiency and im-prove the effectiveness of data fusion. The simulation results show that the method is easy to im-plement, robust and effective, which is superior to classical algorithms.