Distributed cluster head election algorithm using local energy estimation

Authors:
Ki-wook Kim;Kwang-Ryoul Kim;Sung-Gi Min
Affiliations:
Korea University, Sungbuk-gu, Seoul, Republic of Korea;Korea University, Sungbuk-gu, Seoul, Republic of Korea;Korea University, Sungbuk-gu, Seoul, Republic of Korea
Venue:
Proceedings of the 2009 International Conference on Hybrid Information Technology
Year:
2009

Citing 2
Cited 0

HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks

IEEE Transactions on Mobile Computing
An application-specific protocol architecture for wireless microsensor networks

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the wireless sensor network (WSN), selecting cluster head (CH) is important issue to increase the network lifetime and selection time of CH is critical. We propose improved CH selection method that the election time of CH does not be increased as the local energy level is decreased. The proposed method, Distributed Cluster Head Election Algorithm using Local Energy Estimation (DCHEA), uses energy levels of neighboring sensor nodes as well as local energy level to prevent the decrease of the CH probability of the sensor node. The simulation result shows that the life time of the WSN using the proposed scheme is extended.