RMIT University
Browse

Energy balanced data collection in wireless sensor networks

conference contribution
posted on 2024-10-31, 17:06 authored by Ning Jin, Kaiji Chen, Tao Gu
In this paper, we investigate the energy balanced data collection problem in WSNs, aiming to balance the energy consumption among all the sensor nodes in the data propagation process. Energy balanced data collection can potentially save energy consumption and prolong the network lifetime, and hence it has many practical implications for WSN design and deployment. The traditional hop-by-hop transmission model allows a sensor node to propagate its packets in a hop-by-hop manner towards the sink, resulting in poor energy balance for the entire network. To address the problem, we apply a slice based energy model, and divide the energy balanced data collection problem into inter- and intra-slice energy balance problems. We then propose a novel Inter-slice Mixed Transmission strategy and an Intra-slice Forwarding technique to address each of the problems. Finally, we design an Energy-balanced Transmission Protocol (ETP) to combine both techniques to achieve total energy balance in data collection. Through extensive simulation studies, we demonstrate that, while ETP achieves energy balanced data collection, the network lifespan is increased by 10 times and the network delay is decreased by more than 70% compared to the hop-by-hop transmission in a general square area WSN.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/ICNP.2012.6459987
  2. 2.
    ISBN - Is published in 9781467324458 (urn:isbn:9781467324458)

Start page

1

End page

10

Total pages

10

Outlet

Proceedings of the 20th IEEE International Conference on Network Protocols (ICNP 2012)

Name of conference

ICNP 2012

Publisher

IEEE

Place published

USA

Start date

2012-10-30

End date

2012-11-02

Language

English

Copyright

© 2012 by the Institute of Electrical and Electronic Engineers, Inc. All rights reserved.

Former Identifier

2006040012

Esploro creation date

2020-06-22

Fedora creation date

2015-01-15

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC