Abstract—In time of the Internet of things, some infrastructures of our city such as streetlamp control network is becoming more and more intelligent. It is necessary to apply some new technology to streetlamp network fault node detection which composed of computer network. In this paper,we combine network performance objectives in complex networks with real communication network’s performance analysis. Experiments focus on the relationship between fault nodes and network performance such as cluster coefficient, inverse geodesic length and size of the largest connected subgraph. It is found that the node’s betweenness plays a key role in the influence to above network performance objectives with a coarse linear relationship. We present the quantified analysis of influence generated in network performance and modify the traditional SNMP polling mechanism for streetlamp control network. The heuristic fault node location algorithm based on node’s betweenness is proposed in this paper to promote fault location performance of traditional SNMP polling in the time of finding fault nodes in real networks of different types by algorithm parallelization in cloud computing platform.

Index Terms—Streetlamp control network, network management, betweenness, fault detection

R. Wang is from College of Computer Science and Technology, Chongqing University of Posts and Telecommunications(Tel.: + 86-023-62460934; e-mail: 799862370@qq.com)

Cite: Runmin Wang, "Novel Node Betweenness Based Fault Detection for Streetlamp Control Network," International Journal of Computer and Communication Engineering vol. 1, no. 1, pp.  51-54 , 2012.