Abstract
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.
Highlights
wireless sensor networks (WSNs) are remotely located autonomous networks which consist of a great number of wireless sensors with wireless information transmission functions [1]
WSNs consist of hundreds of wireless sensors which are connected with other sensors
There are many realistic systems which can be described in terms of complex networks in nature and society [5], such as online social networks [6,7], protein-protein interaction networks [8], the Internet [9,10], and transportation networks [11,12]; a wide range of specialists have paid considerable attention to the topology structure characteristics of complex networks
Summary
WSNs are remotely located autonomous networks which consist of a great number of wireless sensors with wireless information transmission functions [1]. The scale-free networks have become the mainstream topology of WSNs. There have been numerous research findings about cascading breakdowns in complex networks over the past few years. Most existing research depends on optimizing node performance to restrict cascading breakdowns instead of applying complex network topology. We consider the influence of node distribution in the scale-free topology of WSNs on cascading failure before introducing a super node with higher performance, which will be connected with the sink node. On the basis of the above research, we put forward a cascading breakdown evolution model for WSNs with a scale-free topological structure.
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