On the Analysis of Newman & Watts and Kleinberg Small World Models in Wireless Sensor Networks

In this work, we study the design of a Wireless Sensor Network based on the Small world models. By modeling a sensor network with small world features, it is possible to decrease the average path length to interconnect the sink and sensor nodes. The goal of this work is to analysis the Newman & Watts and Kleinberg small world models in wireless sensor networks. The simulation results showed that both models are able to create a sensor network with small world features, however, the Newman & Watts model has better results regarding the path length, clustering coefficient and data communication latency. On the other hand, the Kleinberg model reduces more the energy consumption during data communication.