Abstract In wireless network systems various topologies need to understand. These topologies include star, mesh, cluster and a few more. Among them it is found that the cluster-based topology is more significant over the other existing types. We have analysed the several types and discuss the features in this paper.... In wireless network systems various topologies need to understand. These topologies include star, mesh, cluster and a few more. Among them it is found that the cluster-based topology is more significant over the other existing types. We have analysed the several types and discuss the features in this paper. Read More Read Less

Abstract We outline with details the nodes measurement in wireless sensor networks. We have deployed the triangle model to calculate the distances to find out the angles. The methods for registering presence, environmental analysis and the steps are also described. We hope it will help to find the methods of coordination.... We outline with details the nodes measurement in wireless sensor networks. We have deployed the triangle model to calculate the distances to find out the angles. The methods for registering presence, environmental analysis and the steps are also described. We hope it will help to find the methods of coordination. Read More Read Less

Abstract We have used the two-dimensional direction of arrival for calculating the coherent sources with the application of radial basis function. We further used the narrowband signals and rectangular antenna array geometry for network training. The experimental set up and finding is carried out to find the efficiency in the 2D estimation that ultimately help to separate the closely space coherent... We have used the two-dimensional direction of arrival for calculating the coherent sources with the application of radial basis function. We further used the narrowband signals and rectangular antenna array geometry for network training. The experimental set up and finding is carried out to find the efficiency in the 2D estimation that ultimately help to separate the closely space coherent sources. The RBF neural network paves the way for operating the real-time representation using algorithms. Read More Read Less