Evolutionary model of heterogeneous clustering wireless sensor networks based on local world theory

Abstract

Current research on the scale-free evolutionary model of wireless sensor networks (WSN) treated each network as a homogenous one and does not take into account the evolutionary characteristics of the network in realistic scenarios,thus leading to significant differences between homogenous networks and realistic ones.Therefore,based on local-world theory,a heterogonous evolution model of WSN in relation to cluster-structure,energy-sensitivity and dynamic behavior of WSN (e.g.,failures of nodes and links) was proposed.Compared with previous research results,the proposed model is closer to reality.By using the mean-field theory,the scale-free feature is demonstrated.Moreover,by studying the impacts of topology growth on error tolerance of the network,it is proved that enlarging the size of the local-world and enhancing the upper limit of de-gree is able to improve the network performance in terms of error-tolerance,while an increase in the cluster proportion and deletion probability led to the degradation of the network error tolerance.

Keywords

• wireless sensor network
• scale-free
• topology evolution
• local-world
• error-tolerance