A Load Balanced Data Collection Framework for Wireless Sensor Network Using Dual Data Uploading and Polling Technique

Abstract

The concept is to gather data from different mobiles in wireless sensor network. To achieve this, three layers of frame work is used. They are sensor layer, cluster head layer, mobile collector layer. This framework employs distributed load balanced clustering and dual data uploading (LBC-DDU).In sensor layer, a distributed load balanced clustering (LBC) algorithm is used to self organize them in cluster. In cluster head layer multiple cluster heads are placed in one cluster. Multiple cluster heads are used for dual data uploading. To guarantee the connectivity among the clusters, inter-cluster transmission range is chosen. Inter-cluster transmission transfer the information into sencar which is in mobile collector layer and sencar is equipped with two antennas. This enables two cluster head to act simultaneously and upload data by multi-user multiple-input and multiple-output (MU-MIMO) technique. The trajectory planning is used for dual data uploading by selecting polling points in each cluster. By visiting each selected polling point, sencar gather data from cluster head and transfer to sink. In contrast to existing methods the proposed scheme generates multiple cluster heads in each cluster to balance data. Multiple cluster heads are used to save energy in inter cluster communication.

Authors and Affiliations

B. Nancy, Mrs. L. K. Indumathi

Keywords

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  • EP ID EP21912
  • DOI -
  • Views 190
  • Downloads 3

How To Cite

B. Nancy, Mrs. L. K. Indumathi (2016). A Load Balanced Data Collection Framework for Wireless Sensor Network Using Dual Data Uploading and Polling Technique. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(4), -. https://europub.co.uk/articles/-A-21912