摘要
为了提高数据融合效率,减少无线传感器网络节点能量消耗,提出一种静、动态分簇技术相结合的网络策略。它克服了传统单独静态分簇、动态分簇的不足,通过对簇头选举及检测目标坏境等参数进行分析比较,可以减小网络跳数、减少数据传输量,同时也实现了能量均衡利用,延长网络生命周期。在单目标低速移动状态下,其网络数据融合性能达到最佳。
In order to improve the efficiency of data fusion in wireless sensor network, reduce the energy consumption of sensor nodes, a kind of combined with dynamic clustering and static clustering technique network strategy is put forward. It overcomes the shortage of the traditional only static clustering or dynamic clustering technique. According to analyze and comparison the election of cluster head and detection environment parameters of target, it can reduce network hop count, reduce the data transmission, achieve the balanced use of energy and also prolong the lifetime of network. Its network data fusion performance is to the best in the state of low-speed single moving target.
出处
《计算机与现代化》
2013年第5期127-130,共4页
Computer and Modernization
基金
国家自然科学基金资助项目(61170060)
安徽省自然科学基金资助项目(11040606M135)
安徽省高等学校自然科学基金重点资助项目(KJ2011A083)
淮南市科技计划项目(2011A07904)
关键词
数据融合
无线传感器网络
静态分簇
动态分簇
data fusion
wireless sensor network（WSN）
static clustering
dynamic clustering
