Energy-Efficient Query Management Scheme for a Wireless Sensor Database System

Minimizing the communication overhead to reduce the energy consumption is an essential consideration in sensor network applications, and existing research has mostly concentrated on data aggregation and in-network processing. However, effective query management to optimize the query aggregation plan...

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Main Authors: Guofang Nan, Minqiang Li
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://dx.doi.org/10.1155/2010/978694
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spelling doaj-d067a8a1babb4a97b6dd5e7e95d2dbbc2020-11-25T02:33:35ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-01201010.1155/2010/978694Energy-Efficient Query Management Scheme for a Wireless Sensor Database SystemGuofang NanMinqiang LiMinimizing the communication overhead to reduce the energy consumption is an essential consideration in sensor network applications, and existing research has mostly concentrated on data aggregation and in-network processing. However, effective query management to optimize the query aggregation plan at the gateway side is also a significant approach to energy saving in practice. In this paper, we present a multiquery management framework to support historical and continuous queries, where the key idea is to reduce common tasks in a collection of queries through merging and aggregation, according to query region, attribute, time duration, and frequency, by executing the common subqueries only once. In this framework, we propose a query management scheme to support query partitioning, region aggregation and approximate processing, time partitioning and aggregation rules, multirate queries, and historical database. In order to validate the performance of our algorithm, a heuristic routing protocol is also described. The performance simulation results show that the overall energy consumption for forwarding and answering a collection of queries can be significantly reduced by applying our query management scheme. The advantages and disadvantages of the proposed scheme are discussed, together with open research issues. http://dx.doi.org/10.1155/2010/978694
collection DOAJ
language English
format Article
sources DOAJ
author Guofang Nan
Minqiang Li
spellingShingle Guofang Nan
Minqiang Li
Energy-Efficient Query Management Scheme for a Wireless Sensor Database System
EURASIP Journal on Wireless Communications and Networking
author_facet Guofang Nan
Minqiang Li
author_sort Guofang Nan
title Energy-Efficient Query Management Scheme for a Wireless Sensor Database System
title_short Energy-Efficient Query Management Scheme for a Wireless Sensor Database System
title_full Energy-Efficient Query Management Scheme for a Wireless Sensor Database System
title_fullStr Energy-Efficient Query Management Scheme for a Wireless Sensor Database System
title_full_unstemmed Energy-Efficient Query Management Scheme for a Wireless Sensor Database System
title_sort energy-efficient query management scheme for a wireless sensor database system
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description Minimizing the communication overhead to reduce the energy consumption is an essential consideration in sensor network applications, and existing research has mostly concentrated on data aggregation and in-network processing. However, effective query management to optimize the query aggregation plan at the gateway side is also a significant approach to energy saving in practice. In this paper, we present a multiquery management framework to support historical and continuous queries, where the key idea is to reduce common tasks in a collection of queries through merging and aggregation, according to query region, attribute, time duration, and frequency, by executing the common subqueries only once. In this framework, we propose a query management scheme to support query partitioning, region aggregation and approximate processing, time partitioning and aggregation rules, multirate queries, and historical database. In order to validate the performance of our algorithm, a heuristic routing protocol is also described. The performance simulation results show that the overall energy consumption for forwarding and answering a collection of queries can be significantly reduced by applying our query management scheme. The advantages and disadvantages of the proposed scheme are discussed, together with open research issues.
url http://dx.doi.org/10.1155/2010/978694
work_keys_str_mv AT guofangnan energyefficientquerymanagementschemeforawirelesssensordatabasesystem
AT minqiangli energyefficientquerymanagementschemeforawirelesssensordatabasesystem
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