Dynamic data fusion for future sensor networks

被引：0
作者：
Georgia Institute of Technology [1 ]
不详 [2 ]
机构：
[1] College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280
来源：
ACM Trans. Sens. Netw. | 2006年 / 3卷 / 404-443期
关键词：
Data fusion; Energy awareness; In-network aggregation; Middleware; Platform; Role assignment; Sensor network;
D O I：
10.1145/1167935.1167940
中图分类号：
学科分类号：
摘要：
DFuse is an architectural framework for dynamic application-specified data fusion in sensor networks. It bridges an important abstraction gap for developing advanced fusion applications that takes into account the dynamic nature of applications and sensor networks. Elements of the DFuse architecture include a fusion API, a distributed role assignment algorithm that dynamically adapts the placement of the application task graph on the network, and an abstraction migration facility that aids such dynamic role assignment. Experimental evaluations show that the API has low overhead, and simulation results show that the role assignment algorithm significantly increases the network lifetime over static placement. © 2006 ACM.
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页码：404 / 443
页数：39
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