Evolution of scale-free wireless sensor networks with feature of small-world networks
type: Item
instance of: scholarly article
title: Evolution of scale-free wireless sensor networks with feature of small-world networks
zbMATH Open document ID: 1373.90025
DOI: 10.1155/2017/2516742
author: Ying Duan
author: Xiuwen Fu
author: Wenfeng Li
author: Yu Zhang
author: Giancarlo Fortino
published in: Complexity
publication date: 2017-10-26T00:00:00Z
review text: Summary: Scale-free networks and small-world networks are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of Wireless Sensor Networks (WSNs). However, currently both theories are not jointly applied to have further improvements in the generation of WSN topologies. Therefore, this paper proposes a cluster-structured evolution model of WSNs considering the characteristics of both networks. With introduction of energy sensitivity and maximum limitation of degrees that a cluster head could have, the performance of our model can be ensured. In order to give an overall assessment of lifting effects of shortcuts, four placement schemes of shortcuts are analyzed. The characteristics of small-world network and scale-free network of our model are proved via theoretical derivation and simulations. Besides, we find that, by introducing shortcuts into scale-free wireless sensor network, the performance of the network can be improved concerning energy-saving and invulnerability, and we discover that the schemes constructing shortcuts between cluster heads and the sink node have better promoted effects than the scheme building shortcuts between pairs of cluster heads, and the schemes based on the preferential principle are superior to the schemes based on the random principle.
Mathematics Subject Classification ID: 90B10
Mathematics Subject Classification ID: 90B18
zbMATH DE Number: 6798516
zbMATH Keywords: wireless sensor networks
zbMATH Keywords: scale-free networks
zbMATH Keywords: small-world networks
zbMATH Keywords: cluster-structured evolution model
Wikidata QID: Q59142874
describes a project that uses: PROFETA
describes a project that uses: Brain Connectivity Toolbox
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/2516742
OpenAlex ID: W2740472760
cites work: Exploring complex networks
cites work: Collective dynamics of ‘small-world’ networks
cites work: On the design of resilient heterogeneous wireless sensor networks based on small world concepts
DBLP publication ID: journals/complexity/DuanFLZF17
description: scientific article; zbMATH DE number 6798516