期刊
COMPUTERS & MATHEMATICS WITH APPLICATIONS
卷 64, 期 5, 页码 1044-1055出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2012.03.023
关键词
IOT; WSN; Constructing; Topology; Local world; Clustering
资金
- 863 project plan of China [2007AA01Z188]
- National Science Foundation of China [60773073, 61001174, 61170173]
- Program for New Century Excellent Talents in University of China [NCET-09-0895]
- Tianjin Nature Foundation [10JCYBJC00500]
In this paper, we propose a new constructing approach for a weighted topology of wireless sensor networks (WSNs) based on local-world theory for the Internet of Things (IOT). Based on local-world theory, an uneven clustering weighted evolving model of WSNs is designed. The definitions of edge weight and vertex strength take sensor energy, transmission distance, and flow into consideration. The vertex strengths drive the growth of topology; meanwhile, the edge weights change correspondingly. Experimental data demonstrate that the WSN topology we obtain has the property of weighted networks of the IOT: the edge weight, vertex degree, and strength follow a power-law distribution. Related IOT research work shows that weighted WSNs not only share the robustness and fault tolerance of weight-free networks, but also reduce the probability that successive node breakdowns occur; furthermore, they enhance the synchronization of WSNs. (C) 2012 Elsevier Ltd. All rights reserved.
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