Increasing network lifetime using data compression in wireless sensor networks with energy harvesting

Sunyong Kim, Chiwoo Cho, Kyung Joon Park, Hyuk Lim

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

In wireless sensor networks powered by battery-limited energy harvesting, sensor nodes that have relatively more energy can help other sensor nodes reduce their energy consumption by compressing the sensing data packets in order to consequently extend the network lifetime. In this article, we consider a data compression technique that can shorten the data packet itself to reduce the energies consumed for packet transmission and reception and to eventually increase the entire network lifetime. First, we present an energy consumption model, in which the energy consumption at each sensor node is derived. We then propose a data compression algorithm that determines the compression level at each sensor node to decrease the total energy consumption depending on the average energy level of neighboring sensor nodes while maximizing the lifetime of multihop wireless sensor networks with energy harvesting. Numerical simulations show that the proposed algorithm achieves a reduced average energy consumption while extending the entire network lifetime.

Original languageEnglish
JournalInternational Journal of Distributed Sensor Networks
Volume13
Issue number1
DOIs
StatePublished - 1 Jan 2017

Bibliographical note

Publisher Copyright:
© The Author(s) 2017.

Keywords

  • Energy efficiency
  • data compression
  • energy consumption model
  • network lifetime
  • wireless sensor networks

Fingerprint

Dive into the research topics of 'Increasing network lifetime using data compression in wireless sensor networks with energy harvesting'. Together they form a unique fingerprint.

Cite this