A Load Balanced Clustering and Mobile Data Gathering Based on Sencar in Wireless Sensor Network
نویسنده
چکیده
The wireless sensor network are liked due to monitoring the presence of situation in many applications like industrial, environmental sensing, health care monitoring.The energy capability is a crucial view in wireless sensor networks to overcome this problem the efficient technique of clustering is used to achieve more data transmission, long network lifetime, less time consuming process, minimize energy utilization.The WSN architectures have been proposed based on Mobile Elements.It consist of three layer framework for mobile data collection,which includes the sensor layer, cluster head layer, and mobile collector layer it is also called SenCar layer.This framework employs distributed load balanced clustering and dual data uploading (LBC-DDU). At the sensor layer a distributed load balanced clustering (LBC) algorithm is used for sensors to self-organize into clusters.In the cluster head layer use inter-cluster transmission range it is carefully chosen to guarantee the connectivity among the clusters.The multiple cluster heads within a cluster co-operate with each other and it perform energy saving in the inter-cluster communications. By using this transmission cluster head information is send to the SenCar by its moving trajectory planning.This is done by utilizing multi-user multiple input and multiple output it is refered as MU-MIMO technique.The results show each cluster has at most two cluster heads. If sencar has low energy consumption then it is energised by sink is the base station it controls the entire network .As the Simulation results exhibit that the load balanced clustering technique maintains the energy level and also more data gathering for increased network life time. Keywords—Load balanced clustering dual data uploading(LBC-DDU), multi-user multiple input and multiple output (MU-MIMO), Sencar,mobility control, polling point. _________________________________________________________________________________________________________________
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