Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology

Hybrid Energy-Efficient Clustering Protocols for Wireless Sensor Networks

Authors
Shuo Chen, Maiying Shen, Qi Cao
Corresponding Author
Shuo Chen
Available Online May 2014.
DOI
https://doi.org/10.2991/scict-14.2014.19How to use a DOI?
Keywords
clustering algorithm; energy-efficient; hybrid; WSNs;
Abstract
Wireless Sensor Networks (WSNs) with numerous spatially distributed sensors can accurately monitor a remote environment, such as humidity, pressure, distance, etc. and cooperatively send the data, combing from the individual nodes, to base station (BS). Energy saving is a great challenge for WSNs which have limited power. Many protocols based on the clustering algorithm are specifically put forward for WSNs, such as LEACH, DEEC, SEP, TEEN, and etc. In this paper, we provide and analyze a new hybrid energy-efficient clustering (HEEC) protocol designed for heterogeneous environment in WSNs. In HEEC, Cluster Head (CH) selection depends on the ratio of surplus energy of every node to average energy of the whole network. Moreover, in order to save and balance energy conservation and suit time-critical applications’ requirement, we introduce threshold of detected data by each node. Simulation results and theoretical analysis represent the proposed protocol outperforms DDEEC and TEEN in terms of network lifetime, stability period, data packets received by BS and energy consumption in wireless sensor networks.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Shuo Chen
AU  - Maiying Shen
AU  - Qi Cao
PY  - 2014/05
DA  - 2014/05
TI  - Hybrid Energy-Efficient Clustering Protocols for Wireless Sensor Networks
BT  - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology
PB  - Atlantis Press
SP  - 78
EP  - 82
SN  - 1951-6851
UR  - https://doi.org/10.2991/scict-14.2014.19
DO  - https://doi.org/10.2991/scict-14.2014.19
ID  - Chen2014/05
ER  -