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Query Processing for Sensor Networks


Affiliations
1 Department of Computer of IT, North Maharashtra University, Godavari College of Engineering, Jalgaon (MS), India
2 Godavari Foundation's Godavari College of Engineering, Jalgaon, India
     

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Hardware for sensor nodes that combine physical sensors, actuators, embedded processors, and communication components has advanced significantly over the last decade, and made the large-scale deployment of such sensors a reality. Applications range from monitoring applications such as inventory maintenance over health care to military applications. In this paper, we evaluate the design of a query layer for sensor networks. The query layer accepts queries in a declarative language that are then optimized to generate efficient query execution plans with in-network processing which can significantly reduce resource requirements. We examine the main architectural components of such a query layer, concentrating on in-network aggregation, interaction of in-network aggregation with the wireless routing protocol, and distributed query processing. Initial simulation experiments with the ns-2 network simulator show the tradeoffs of our system.
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  • Query Processing for Sensor Networks

Abstract Views: 224  |  PDF Views: 1

Authors

Rahul Gaikwad
Department of Computer of IT, North Maharashtra University, Godavari College of Engineering, Jalgaon (MS), India
Shilpa Agrawal
Godavari Foundation's Godavari College of Engineering, Jalgaon, India
Swati Dusane
Godavari Foundation's Godavari College of Engineering, Jalgaon, India

Abstract


Hardware for sensor nodes that combine physical sensors, actuators, embedded processors, and communication components has advanced significantly over the last decade, and made the large-scale deployment of such sensors a reality. Applications range from monitoring applications such as inventory maintenance over health care to military applications. In this paper, we evaluate the design of a query layer for sensor networks. The query layer accepts queries in a declarative language that are then optimized to generate efficient query execution plans with in-network processing which can significantly reduce resource requirements. We examine the main architectural components of such a query layer, concentrating on in-network aggregation, interaction of in-network aggregation with the wireless routing protocol, and distributed query processing. Initial simulation experiments with the ns-2 network simulator show the tradeoffs of our system.