Data centric adaptive in-network aggregation for wireless sensor networks

被引：0
|
作者：
Weerasinghe, Hesiri [1 ]
Elhajj, Imad H. [2 ]
Krsteva, Aleksandra [1 ]
Abou Najm, Mazen [2 ]
机构：
[1] Oakland Univ, Dept Comp Sci & Engn, Rochester, MI 48309 USA
[2] Amer Univ Beirut, Dept Elect & Comp Engn, Beirut, Lebanon
来源：
2007 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3 | 2007年
关键词：
sensor networks; in-network; aggregation; data centric; adaptive;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents and evaluates a data centric adaptive in-network aggregation algorithm for wireless sensor networks. In-Network data aggregation is used in wireless sensor networks to reduce the power consumption of sensor nodes. The accuracy of the aggregated results is highly sensitive to delays in the measurements. All existing methods use fixed time limit to accept delayed information for aggregation. The proposed method dynamically calculates the delay limit by using the historical behavior of each sensor. The presented simulation results illustrate the advantage of the developed algorithm.
引用
收藏
页码：6 / +
页数：2
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