Affordable Access

deepdyve-link
Publisher Website

Efficient Continuous Skyline Query Processing in Wireless Sensor Networks.

Authors
  • Xiao, Yingyuan1, 2
  • Jiao, Xu3
  • Wang, Hongya4
  • Hsu, Ching-Hsien5
  • Liu, Li3
  • Zheng, Wenguang3
  • 1 Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China. [email protected] , (China)
  • 2 Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China. [email protected] , (China)
  • 3 Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China. , (China)
  • 4 College of Computer Science and Technology, Donghua University, Shanghai 201620, China. , (China)
  • 5 Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan. [email protected] , (Taiwan)
Type
Published Article
Journal
Sensors
Publisher
MDPI AG
Publication Date
Jun 30, 2019
Volume
19
Issue
13
Identifiers
DOI: 10.3390/s19132902
PMID: 31262069
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Owing to the rapid advent of wireless technology and proliferation of smart sensors, wireless sensor networks (WSNs) have been widely used to monitor and query the physical world in many applications based on the Internet of Things (IoT), such as environmental monitoring and event surveillance. A WSN can be treated as a distributed database to respond to user queries. Skyline query, as one of the popular queries for multi-criteria decision making, has received considerable attention due to its numerous applications. In this paper, we study how to process a continuous skyline query over a sensor data stream in WSNs. We present an energy-efficient continuous skyline query method called EECS. EECS can avoid the transmission of invalid sensor data and prolong the lifetime of WSNs. Extensive experiments are conducted, and the experimental results demonstrate the effectiveness of the proposed method.

Report this publication

Statistics

Seen <100 times