Skip to main content
Article thumbnail
Location of Repository

Distance-based Energy Efficient Clustering for Wireless Sensor Networks

By Sanghak Lee and Junejae Yoo Taechoong Chung


Sensor Networks have recently emerged as an important computing platform. However, the energy constrained and limited computing resources of the sensor nodes present major challenges in gathering data. In this work, we propose a new distributed clustering and data aggregation algorithm, CODA (Cluster-based self-Organizing Data Aggregation), based on the distance from the sink in ad-hoc wireless sensor networks. While cluster-based data gathering is efficient at energy and bandwidth, it’s difficult to cluster efficiently. We use the distance vector from the sink, which affects the energy depletion of the network. Our simulation results show that the proposed algorithm balances the energy dissipation over the whole network thus prolongs the network lifetime. 1

Year: 2004
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.