A SURVEY ON ENERGY EFFICIENT DATA GATHERING WITH LOAD BALANCING

Abstract

The framework employs distributed load balanced clustering and dual data uploading, which is referred to as LBC-DDU. The objective is to achieve good scalability, long network lifetime and low data collection latency. At the sensor layer, a distributed Load Balanced Clustering (LBC) algorithm is proposed for sensors to self-organize themselves into clusters. In contrast to existing clustering methods, our scheme generates multiple cluster heads in each cluster to balance the work load and facilitate dual data uploading. At the cluster head layer, the inter-cluster transmission range is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster cooperate with each other to perform energy-saving inter-cluster communications. Through inter-cluster transmissions, cluster head information is forwarded to Base station for its moving trajectory planning. At the mobile collector layer, Base station is equipped with two antennas, which enables two cluster heads to simultaneously upload data to Base station in each time by utilizing Multi-user Multiple-Input and Multiple-Output (MU-MIMO) technique.