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  • Research Article
  • Open Access

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

EURASIP Journal on Wireless Communications and Networking20102010:978694

  • Received: 5 November 2009
  • Accepted: 3 June 2010
  • Published:


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.


  • Communication Overhead
  • Aggregation Rule
  • Continuous Query
  • Aggregation Plan
  • Region Aggregation

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Authors’ Affiliations

Institute of Systems Engineering, Tianjin University, Tianjin, 300072, China
Department of Electronics, Polytechnic University of Turin, Turin, 10129, Italy
Department of Information Management and Management Science, Tianjin University, Tianjin, 300072, China


© Guofang Nan and Minqiang Li. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.