Detail View

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

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

Title
Increasing network lifetime using data compression in wireless sensor networks with energy harvesting
Issued Date
2017-01
Citation
Kim, Sun Yong. (2017-01). Increasing network lifetime using data compression in wireless sensor networks with energy harvesting. International Journal of Distributed Sensor Networks, 13(1). doi: 10.1177/1550147716689682
Type
Article
Author Keywords
Energy efficiencywireless sensor networksdata compressionnetwork lifetimeenergy consumption model
ISSN
1550-1477
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. © The Author(s) 2017.
URI
http://hdl.handle.net/20.500.11750/5051
DOI
10.1177/1550147716689682
Publisher
Hindawi Publishing Corporation
Show Full Item Record

File Downloads

공유

qrcode
공유하기

Related Researcher

박경준
Park, Kyung-Joon박경준

Department of Electrical Engineering and Computer Science

read more

Total Views & Downloads