EGF-tree: an energy-efficient index tree for facilitating multi-region query aggregation in the internet of things

  • Authors:
  • Zhangbing Zhou;Jine Tang;Liang-Jie Zhang;Ke Ning;Qun Wang

  • Affiliations:
  • China University of Geosciences, Beijing, China and State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China and Institut Mines TELECOM/TELECOM SudParis, Evry Cedex, France;China University of Geosciences, Beijing, China;National Engineering Research Center for Supporting Software of Enterprise Internet Services, Kingdee Software (China) Co. Ltd, Shenzhen, China;National Engineering Research Center for Supporting Software of Enterprise Internet Services, Kingdee Software (China) Co. Ltd, Shenzhen, China;China University of Geosciences, Beijing, China

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

Abstract

Spatial index trees constructed in wireless sensor networks are used to determine the sensors which can participate the query accurately and quickly. Most of index trees are constructed based on the parent--child node relation in network structure like routing tree, in which message sending for parent node selection will consume more energy. Due to energy being the important factor considered in wireless sensor networks, we design an energy-efficient index tree based on grid division and minimum energy merging principle in the skewness distribution of sensor nodes. Multi-region aggregation queries are carried on in our proposed index tree, which mainly focuses on region re-combination. Experimental results show that the energy consumption for multi-region aggregation queries are reduced compared to the original index tree.