BibTeX:

@article{IJIRSTV2I12187,
     title={An Energy Efficient Cluster based Data Collection in Wireless Sensor Networks},
     author={K. Hemagowri, T. Parameswaran and Dr. C. Palanisamy},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={12},
     pages={469--472},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I12187.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Wireless sensor networks (WSNs) have gained a great deal of attention in the past decade due to their wide range of application areas and formidable design challenges. Wireless sensor networks consist of tiny sensor nodes that communicate with each other over wireless channels, often in a hostile environment where nodes can be captured and compromised. There are two reasons behind the hierarchical routing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol be in explored. One, the sensor networks are dense and a lot of redundancy is involved in communication. Second, in order to increase the scalability of the sensor network keeping in mind the security aspects of communication. Most existing geographic routing protocols on sensor networks concentrates on finding ways to guarantee data forwarding from the source to the destination, and not many protocols have been done on gathering and aggregating data of sources in a local and adjacent region. However, data generated from the sources in the region are often redundant and highly correlated. Accordingly, gathering and aggregating data from the region in the sensor networks is important and necessary to save the energy and wireless resources of sensor nodes. We introduce the concept of a local sink to address this issue in geographic routing.

Wireless sensor networks (WSNs), data collection, Low Energy Adaptive Clustering Hierarchy, Cluster head, Anchor point