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Submitted
July 20, 2016
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July 20, 2016
Published
July 19, 2016
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Abstract

The wireless sensor networks consist of static sensors, which can be deployed in a wide environment for monitoring applications. While transmitting the data from source to static sink, the amount of energy consumption of the sensor node is high. This results in reduced lifetime of the network. Some of the WSN architectures have been proposed based on Mobile Elements such as three-layer framework is for mobile data collection, which includes the sensor layer, cluster head layer, and mobile collector layer (called SenCar layer). This framework employs distributed load balanced clustering and dual data uploading, it is referred to as LBC-DDU.

In the sensor layer a distributed load balanced clustering algorithm is used for sensors to self-organize themselves into clusters. The cluster head layer use inter-cluster transmission range it is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster cooperate with each other to perform energy-saving in the inter-cluster communications. Through this transmissions cluster head information is send to the SenCar for its moving trajectory planning.

This is done by utilizing multi-user multiple-input and multiple-output (MU-MIMO) technique. Then the results show each cluster has at most two cluster heads. LBC-DDU achieves higher energy saving per node and energy saving on cluster heads comparing with data collection through multi-hop relay to the static data sinks.

Keywords

Wireless sensor networks (WSNs) load balanced clustering dual data uploading data collection multi-user multiple-input and multiple-output (MU-MIMO) Sencar mobility control polling point

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Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal. 

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This is an open-access article distributed under the terms of  Creative Commons License

 

How to Cite
Kalaivani, S. (2016). Sencar Based Load Balanced Clustering With Mobile Data Gathering In Wireless Sensor Networks. International Journal of Students’ Research in Technology & Management, 4(2), 38–43. https://doi.org/10.18510/ijsrtm.2016.424
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