Scale-Free Topology for Pervasive Networks

Saffre, Fabrice; Jovanovic, H.; Hoile, Cefn; Singer, Nicolas

doi:10.1023/b:bttj.0000047133.25088.4f

Cited by 12 publications

(2 citation statements)

References 10 publications

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“…BA scale-free network did not take spatial properties into consideration, so many scholars improved this model. For example, Saffre et al [13] proposed an algorithm to build network topology with scale-free concept using local geographic information of sensor. Literature [8] proposed a topology evolution of WSNs among cluster heads by random walkers.…”

Section: Scale-free Network In Wsnsmentioning

confidence: 99%

A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks

Liu

Xue

Xie

2014

International Journal of Distributed Sensor Networks

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Topology construction and control is a vital technique in wireless sensor networks. In this paper, based on small-world and scale-free concepts of complex network theory and considering the characteristics of wireless sensor network, a topology model with smallworld and scale-free concepts for heterogeneous sensor network is presented. This work is achieved by applying heterogeneous sensors and preferential attachment mechanism. Furthermore, the topology evolution algorithm is designed. Finally, we simulate the network characteristics, and simulation results are consistent with the theoretic analysis and show that topologies of wireless sensor network built by this model have small-world and scale-free feathers and can significantly improve energy efficiency as well as enhance network robustness, leading to a crucial improvement of network performance.

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Section: Scale-free Network In Wsnsmentioning

confidence: 99%

A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks

Liu

Xue

Xie

2014

International Journal of Distributed Sensor Networks

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“…In 2004, Sarshar et al [11] first showed that only relying on the classical BA model cannot produce heavy-tailed degree distribution in complex ad hoc networks and P2P networks. He has proposed an evolving model which introduced the mechanisms of nodes deletion and links compensatory rewiring; Saffre et al [12] successfully implemented the scale-free topology for pervasive networks, which conquered the difficulty by devising realistic connection protocols that would allow approximating scale-free topology on the sole basis of local information exchange. In 2005, Chen GuanRong modeled the complex Internet topology in his preeminent work [3], which captured the Local-World evolving dynamics.…”

Section: Related Work and Our Contributionmentioning

confidence: 99%

Dynamics of Wireless Sensor Networks

Jiang

Zhou

Qiu-lin

2009

International Journal of Distributed Sensor Networks

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Power-Law topology has been proved to be an effective technique to improve fault tolerance. With the motivation of construct reliable topology for wireless sensor networks, a Power-Law Evolving Model (PLEW) of wireless sensor networks by stochastic placement is proposed in this article. In a dynamic evolving process of Wireless Sensor Networks, there are four types of events as follows: adding new nodes, nodes failure, adding new links, and links failure. The dynamics of nodes and links are integrated into the evolving model consequently. By using the continuum theory, the theoretical computing and simulated results show that the degree distribution of this model follows a power law. The scale-free properties revealed in this model can be applied into the scenarios required high dependability, such as national defense or survivability systems.

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