面向高效节能和拥塞优化的WSN数据汇集算法研究

Research on Aggregation Algorithm Based on Energy-saving and Congestion Optimization for Wireless Sensor Networks

无线传感器网络应用中经常需要对信息进行查询,而查询主要通过数据汇聚完成.过多的数据查询必然引起能量的快速消耗.通过分析无线传感器网络中基于查询的数据汇聚算法,并设计实现了基于树结构的数据汇集算法;并引入了能量估算模型和延时抖动模型,提出基于树结构的汇聚改进策略;同时基于TOSSIM仿真平台建立WSN网络;调节不同参数数值,测试数据汇聚算法的成功应答率、总能量消耗、总传输次数和总延迟等性能指标.实验表明:该改进算法通过数据汇聚算法在能源消耗和传输拥塞控制上达到较好的表现.

Wireless sensor network applications often need to query the information and mainly through data aggregation methods .Too much data query will cause the rapid consumption of energy .This paper analyzes the query based on data fusion algorithm in wireless sensor networks ,and then design and implementation the algorithms based on tree‐structure data aggregation .By introducing the energy estimation model and delay jitter model ,put forward the improvement strategy of data aggregation based on tree‐structure .Also the TOSSIM simulation platform is established based on WSN network ,different parameters was adjust and some performance index such as the rate of successful response , the rate of total energy consumption ,the total transactions and total delay was also measured .Experimental results show that the improved algorithm through data aggregation algorithm achieves better performance in energy consumption and transmission congestion control .