无线传感器网络中基于免疫的数据融合机制  

Data Fusion Mechanism Based on Immune in Wireless Sensor Network

作　　者：张楠[1,2] 张建华[1] 李志蜀[2] 杨宪泽[1] 

机构地区：[1]西南民族大学计算机科学与技术学院,四川成都610041 [2]四川大学计算机学院,四川成都610065

出　　处：《小型微型计算机系统》2009年第3期454-459,共6页Journal of Chinese Computer Systems

基　　金：国家创新基金(06C26225101730)资助;成都高新区创新基金(2006512201115)资助;四川省重点科研基金(05GG012-003-2)资助

摘　　要：为了减少传感器节点间的传输量,延长无线传感器网络的生命周期,提出一种基于免疫的数据融合机制.首先提出用分级分发算法来生成融合图,融合图中的汇聚策略既节省网络能量,又兼顾网络可靠性.其次利用人工免疫系统的自学习和自适应的特点,提出免疫融合算法,通过免疫消冗、免疫选择和免疫记忆来保证系统的高可信度和低冗余度.实验表明,该机制有效地降低了系统能耗,具有较好的通用性.To reduce the transmissions among sensor nodes and prolong the lifecycle of the wireless sensor network, a data fusion mechanism based on immune was put forward. At first, a hierarchical distribute algorithm was proposed, in which the aggregation strategy was used to minimize the energies of the network. At the same time, the reliability of the network was also given attention. Secondly, the self-study and self-adaptation characters of artificial immune system were used to bring an immune fusion algorithm forward. In the algorithm, the immune anti-redundancy, immune selection and immune memory were used to ensure high reliability and low redundancy. The experiments show that the mechanism can reduce the energy consumption effectively, and has preferable common use character.

关 键 词：人工免疫 数据融合 无线传感器网络 数据汇聚 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]