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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Frequency-Adaptive Cluster Head Election in Wireless Sensor Network
verfasst von : Tianlong Yun, Wenjia Niu, Xinghua Yang, Hui Tang, Song Ci
Erschienen in: Intelligent Information Processing VI
Verlag: Springer Berlin Heidelberg
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Efficient information routing mechanism is a critical research issue for wireless sensor networks (
WSN
) due to the limit energy and storage resource of sensor nodes. The clustering-based approaches (e.g.
LEACH
,
Gupta
and
CHEF
) for information routing have been developed. Although these approaches did actually improve the routing efficiency and prolong the network lifetime, the clustering frequency
f
is usually pre-designed and fixed. However, the network context (e.g. Energy and load) often dynamically changes, which can provide the dynamical adjustment determination for
f
. Hence, in this paper, we propose a frequency-adaptive cluster-head election approach, which applies the network context for making corresponding
f
adjustment. Furthermore, an
f
-based clustering algorithm is presented as well. The case study and experimental evaluations demonstrate the effectiveness of the proposed approach.