Development of the Model for Wireless Sensor Network based on Swarm Intelligence and Internet of Things

Abstract

This article explains a model wireless sensor network based on Swarm intelligence and Internet of Things to enhance video security surveillance. The model was developed using OMNeT++ software. OMNeT++ is an application software that is used to create both wired and wireless networks. It has a collection of building blocks that can be configured in different ways to create a network. The networks created are all simulated to assess the effectiveness of the networks before they are physically implemented. The Data values from the simulated model such as count, mean and the standard deviation were used in calculations to prove the accuracy or validity of the simulation. The range of values obtained from the calculations is called confidence interval values and they point to the level of accuracy to include true parameter value of 95%. The Confidence Interval values obtained in the developed model were between -1.96 and 1.96 which indicated that the sample values from the project simulation represented 95% of the infinity population. The application here is that Confidence Interval values allow us to take a broad view of the validity of the project. The article seeks to achieve the following objectives: To identify application of Swarm Intelligence Technologies in wireless sensor networks, to develop a model wireless sensor network using OMNeT++ software and finally to attain the 95% confidence interval from the collected data values of the simulated model.