Low Energy Consumption and Data Redundancy Approach of Wireless Sensor Networks with Bigdata

Authors

  • Xunli Fan School of Information Science & Technology, Northwest University, Xi’an 710127, China
  • Wei Wei School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China; 3Qilu University of Technology (Shandong Academy of Sciences); Shandong provincial Key Laboratory of Computer Network.
  • Marcin Wozniak Institute of Mathematics, Silesian University of Technology,Kaszubska 23, 44-100 Gliwice, Poland
  • Ye Li Qilu University of Technology (Shandong Academy of Sciences); Shandong provincial Key Laboratory of Computer Network

DOI:

https://doi.org/10.5755/j01.itc.47.3.20565

Keywords:

wireless sensor, parameter tuning, energy balance, coverage quality

Abstract

To reduce the data redundancy and energy consumption caused by the explosive growth of data in wireless sensor networks, this paper presents a node data image based mean filtering algorithm. In the provided approach, the nodes are divided into active and de-active nodes to eliminate the data of the sleep nodes and data redundancy. The nodes of wireless sensor network are clustered, and the data obtained from the sensor network are modeled. Simulation results show that the proposed algorithm is more effective than that of k-medoids, which can reduce the redundant data. Moreover, it reduces the energy consumption, and improves the life cycle of wireless sensor networks.

DOI: http://dx.doi.org/10.5755/j01.itc.47.3.20565

Downloads

Published

2018-09-10

Issue

Vol. 47 No. 3 (2018)

Section

Articles

License

Copyright terms are indicated in the Republic of Lithuania Law on Copyright and Related Rights, Articles 4-37.