Dynamic Data Fusion for Future Sensor Networks

被引：1

作者：

Ramachandran, Umakishore ^{[1
]}

Kumar, Rajnish ^{[1
]}

Wolenetz, Matthew ^{[1
]}

Cooper, Brian ^{[1
]}

Agarwalla, Bikash ^{[1
]}

Shin, Junsuk ^{[1
]}

Hutto, Phillip ^{[1
]}

Paul, Arnab ^{[1
]}

机构：

[1] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA

来源：

ACM TRANSACTIONS ON SENSOR NETWORKS | 2006年 / 2卷 / 03期

关键词：

Algorithms; Design; Management; Measurement; Sensor network; in-network aggregation; data fusion; role assignment; energy awareness; middleware; platform;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

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