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Dual Data Uploading and Load Balanced Clustering in Multiple Cluster in WSN


D. Mohanapriya, V. Priyanka
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The work proposed a three-layer framework is proposed for mobile data collection in wireless sensor networks, which contains sensor layer, cluster head layer, and mobile collector (called SenCar) layer. The framework employ distributed load balanced clustering and dual data uploading, which is referred to as LBC-DDU. The objective is to achieve good scalability, and low data collection latency. At the sensor layer, a distributed load balanced clustering (LBC) algorithm is anticipated for sensors to self-organize themselves into clusters. In contrast to existing clustering methods, the scheme generates multiple cluster heads in each cluster to balance the work load and facilitate dual data uploading. At the cluster head coat, the inter-cluster broadcast range is carefully chosen to guarantee the connectivity between the Multiple cluster heads within a cluster cooperate with each other to perform energy-saving inter-cluster communications. Through inter-cluster broadcast cluster head information is forwarded to SenCar for its moving trajectory planning. At the mobile collector layer, Sen Car is outfitted with two antennas, which enables two cluster heads to simultaneously upload data to SenCar in each time by exploit multi-user Multiple-input and multiple-output (MU-MIMO) technique. The trajectory planning for SenCar is optimized to entirely utilize dual data uploading capability by properly selecting polling points in each cluster.

D. Mohanapriya, V. Priyanka

SenCar, WSN, Energy Efficiency, cluster heads, CHG

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
186-188 IJSRSET162252   Technoscience Academy

Cite This Article

D. Mohanapriya, V. Priyanka, "Dual Data Uploading and Load Balanced Clustering in Multiple Cluster in WSN", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.186-188, March-April-2016.
URL : http://ijsrset.com/IJSRSET162252.php




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