NDLI: A dynamic-clustering reactive routing algorithm for wireless sensor networks

Content Provider	Springer Nature Link
Author	Guo, Bin Li, Zhe
Copyright Year	2007
Abstract	The clustering is a key routing method for large-scale wireless sensor networks, which effective extends the lifetime and the expansibility of network. In this paper, a node model is defined based on the structure and transmission principle of neuron, and a dynamic-clustering reactive routing algorithm is proposed. Once the event emergences, the cluster head is dynamic selected in the incident region according to the residual energy. The data collected by the cluster head is sent back to the Sink along the network backbone. Two kinds of accumulation ways are designed to increase the efficiency of data collection. Meanwhile through the fluctuation of action-threshold, the cluster head can trace the changing speed of incident; the nodes outside the incident region use this fluctuation to send data periodically. Finally, the simulation results verify that the DCRR algorithm extends the network’s lifetime considerably and adapts to the change of network scale. The analysis shows that DCRR has more prominent advantages under low and middle load.
Starting Page	423
Ending Page	430
Page Count	8
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	15
Issue Number	4
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2007-08-29
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic-clustering Wireless sensor network Threshold Network backbone Neuron Business Information Systems Electrical Engineering Computer Communication Networks Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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