MRDWA: Multi-Role Dynamic Weighting Aggregation Algorithm in Event Driven Wireless Sensor Networks

摘要：

Data aggregation in wireless sensor networks eliminates data redundancy, thereby improving bandwidth usage and energy utilization. This paper presents a data aggregation algorithm, called MRDWA (Multi-Role Dynamic Weighting Aggregation), it mainly used in event driven WSN (Wireless Sensor Networks). MRDWA is based on cluster topology structure, and use different data aggregation algorithm according to the different characteristics of cluster member and cluster header. Each cluster member node adopts local estimation mechanism to determine whether to send sample data, and cluster header node adopts the dynamic weighting manner to make data aggregation according to itsmembersdata staleness. The experimental result shows that the aggregation algorithm reduces energy consumption on the condition of insurance of accuracy of sample data.

关键词： wireless sensor networks event driven multi-role aggregation dynamic weighting

作者: Ying Chen Jian Shu Hong Liu Linlan Liu Jiajie Gong

作者单位: School of Computing Nanchang Hangkong University Nanchang,P.R.China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 311-314

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）