Topological optimization based on small world network model in wireless sensor network

Author(s):  
Ridong Bai
2013 ◽  
Vol 443 ◽  
pp. 509-512
Author(s):  
Yan Zhu ◽  
Yun Yu

Based on the complex network property of wireless sensor networks, this study focus on the topology of wireless sensor network and carry out series simulation according to complex network research methods. The characteristic of topology for the wireless sensor network is probed in the experiment. The degree distribution, clustering coefficient and average path length are analyzed during the experimental process. Our results verify that the topology of wireless sensor network is neither regular nor random. It is between random network and small-world network which has comparatively smaller average path length and bigger cluster coefficient. In order to form a network that is similar to the property of small-world network, which can reduce network energy consumption by decrease the average hops, our experiment constructs a network model which has significant small-world network characteristic. The results indicate that the added small sum of long range edges in the network will not increase the network load while it can reduce the energy consumption of the network effectively.


2013 ◽  
Vol 325-326 ◽  
pp. 1023-1027
Author(s):  
Pan Song

The small world network has higher convergence coefficient and shorter average path length. This paper introduce small world theory to the wireless sensor network, and propose a topology control algorithm of wireless sensor network based on NW small world network model. The design of algorithm is hierarchical, which include formation of super node ring, common node join clusters, maintenance the load balance of common node in cluster, and maintenance the super node ring when super node is failure. The experiment shows that the topology control algorithm has the characteristics of small world network, the network connectivity is good, and the lifetime of wireless sensor network is prolonged.


2010 ◽  
Vol 30 (9) ◽  
pp. 2497-2500
Author(s):  
Xiu-li REN ◽  
Jiang-ying DONG ◽  
Jian-sheng XUE

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