Performance Analysis of Mobile Data Gathering with Load Balance Clustering and Dual Data Uploading

In this paper, there is a framework which is of three layer which is used or proposed for the collecting mobile data in WSNs. That three layer consist of an the first layer is bottom layer ‘sensor layer’ then middle layer is ‘cluster head layer’ and top layer is ‘mobile collector layer’ (Sencar).This framework which employ as an distributed load balanced clustering, and the dual data uploading, which is also referred as LBC-DDU framework. The main objective is to achieve a long network life time, low data collection latency and the good scalability. LBC algorithm proposed here for the sensors to self organizes into clusters. Here the multiple cluster heads, within a cluster co-operate with each other to perform an energy saving inter cluster communication. Here MU-MIMO (multiple user-multiple input multiple output) technique used for data upload in each time by selecting the properly polling points in each cluster. Here we propose the LBC-DDU which achieves the 50% an energy saving per the node and 60% an energy saving on the cluster head comparing with the data collection.