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Distributed network configuration in large-scale low power wireless networks

Cited 9 time in Web of Science Cited 10 time in Scopus
Authors

Kim, Hyung-Sin; Bang, Jae-Seok; Lee, Yong-Hwan

Issue Date
2014-09
Publisher
Elsevier BV
Citation
Computer Networks, Vol.70, pp.288-301
Abstract
One of key issues in the construction of a large-scale wireless sensor network (WSN) is how to securely allocate a unique address to each node in an energy-efficient manner. However, conventional network configuration mechanisms may suffer from energy inefficiency and/or addressing failure problem when applied to the construction of large-scale WSNs. In this paper, we consider the construction of a large-scale WSN by means of distributed addressing operation. We design a network configuration mechanism that allows each router to have its own addressing space for unique address allocation to its child nodes. We also design a node type selection (i.e., router or end device) algorithm that can allow the whole deployment area to be covered by using a less number of routers (i.e., lower energy consumption) than conventional ones. The proposed mechanism provides at least a neighboring router for each node, enabling to support the network connectivity in a distributed manner. Finally, the performance of the proposed scheme is evaluated by computer simulation, showing significant performance improvement over conventional schemes when applied to the construction of a large-scale WSN. (C) 2014 Elsevier B.V. All rights reserved.
ISSN
1389-1286
URI
https://hdl.handle.net/10371/203205
DOI
https://doi.org/10.1016/j.comnet.2014.05.014
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  • Graduate School of Data Science
Research Area Distributed machine learning, Edge, Mobile AI

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