scholarly journals Evolutionary design of wireless sensor networks based on complex networks

2009 ◽  
Author(s):  
Andre S. Ruela ◽  
Raquel S. Cabral ◽  
Andre L. L. Aquino ◽  
Frederico G. Guimaraes
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Complex Networks ◽  
Wireless Sensor ◽  
Evolutionary Design

Complex networks-based energy-efficient evolution model for wireless sensor networks

2009 ◽  
Vol 41 (4) ◽  
pp. 1828-1835 ◽  
Author(s):  
Hailin Zhu ◽  
Hong Luo ◽  
Haipeng Peng ◽  
Lixiang Li ◽  
Qun Luo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Complex Networks ◽  
Energy Efficient ◽  
Evolution Model ◽  
Wireless Sensor

scholarly journals Structural changes in data communication in wireless sensor networks

Open Physics ◽  
2013 ◽  
Vol 11 (12) ◽  
Author(s):  
Raquel Silva Cabral ◽  
Andre Aquino ◽  
Alejandro Frery ◽  
Osvaldo Rosso ◽  
Jaime Ramírez
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Complex Networks ◽  
Shortest Path ◽  
Path Length ◽  
Structural Changes ◽  
Data Communication ◽  
Small World ◽  
Wireless Sensor ◽  
Leibler Divergence

AbstractWireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue since their structure is quite dynamic. The operational topology of such devices can often be described by complex networks. In this work, we assess the variation of measures commonly employed in the complex networks literature applied to wireless sensor networks. Four data communication strategies were considered: geometric, random, small-world, and scale-free models, along with the shortest path length measure. The sensitivity of this measure was analyzed with respect to the following perturbations: insertion and removal of nodes in the geometric strategy; and insertion, removal and rewiring of links in the other models. The assessment was performed using the normalized Kullback-Leibler divergence and Hellinger distance quantifiers, both deriving from the Information Theory framework. The results reveal that the shortest path length is sensitive to perturbations.

scholarly journals Research on Invulnerability of Wireless Sensor Networks Based on Complex Network Topology Structure

2017 ◽  
Vol 13 (03) ◽  
pp. 100 ◽  
Author(s):  
Zhigang Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Complex Networks ◽  
Complex Network ◽  
Network Survivability ◽  
Wireless Sensor ◽  
Font Size ◽  
Topology Structure ◽  
Complex Network Theory ◽  
Different Types

<p><span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;"><span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;">For real-world wireless sensor networks (WSNs), the invulnerability of the network is very critical, because a cascading failure would cause a serious effect on the whole network performance. Network survivability is closely dependent on the topology structure of a network. In this paper, [Note: If you use "firstly," you need to add "secondly," "thirdly,"... "finally" throughout this paragraph; I don't see a need for this here] we meticulously study the topology characteristics of WSNs based on the complex network theory. According to scale-free and small-world features of complex networks, the nodes of WSNs are divided into different types, including common node, super node, and sink node. From the point of view of invulnerability in complex networks, the influence of different types of nodes on the sensor networks' invulnerability is analyzed. Simulation experiments show that adding super nodes to the WSNs would significantly improve network survivability.</span></span></p>

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