摘要
提出了一种基于空间相关性、能量优化的运动单点信号重建算法.该算法首先通过计算得到一个距物理事件的最佳距离,其范围之内的节点都需要发送监测数据.然后采用运动预测方法来确保只有最合适的传感器节点才需要发送数据,该算法能在保证服务质量的前提下尽量降低网络通信流量.模拟实验结果分析表明,该算法能用比现有算法更低的能量耗费获取更好的汇聚端重建性能.
The existing researches either neglect the spatial relation among data samples or fail to consider the case of mobile source. A Low Power Self Scheduling （LPSS） protocol for mobile point source environment was proposed. LPSS first compute a distance to the event source, in which all sensing reports were collected. Then, the mobility of the event source was considered, and sensor nodes were self--scheduled to join or leave the representative nodes group. Simulation results have demonstrated that the proposed method can achieve lower reconstruction distortion with lower energy consumption.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第10期75-80,共6页
Journal of Hunan University:Natural Sciences
基金
中南大学博士后科研基金
总装备部武器预研基金资助项目(9140A15030308QT4801)
国家自然科学基金资助项目(60873082)
中国博士后科学基金资助项目(20090450990)
湖南省博士后科研资助计划(2009RS3036)
关键词
能量优化
重建失真
单点信号源
运动
传感器网络
energy efficient
reconstruction distortion
point source
mobility
sensor networks
