Link Aware Data Aggregation Mechanism based on Passive Clustering in Wireless Sensor Network

K  Sruthi   and A  Umamakeswari

doi:10.17485/ijst/2014/v7i8.27

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Link Aware Data Aggregation Mechanism based on Passive Clustering in Wireless Sensor Network

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i8.27

Year: 2014, Volume: 7, Issue: 8, Pages: 1236–1242

Original Article

Link Aware Data Aggregation Mechanism based on Passive Clustering in Wireless Sensor Network

K. Sruthi^1* and A. Umamakeswari²

1 Advanced Computing, SASTRA University, Tamil Nadu, India; ksruthianu@gmail.com
2 Department of Computer Science and Engineering, SASTRA University, Tamil Nadu, India; aum@cse.sastra.edu

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In Wireless Sensor Network (WSN) each node must report to the Base Station (BS) with the frequency that the BS demands (Nre). The paper proposes Enhanced Link aware Data Aggregation Mechanism (LDAM), an energy efficient data gathering algorithm that elects the Cluster Head (CH) and Gateway (GW) nodes based on the Predicted Transmission Count (PTC) that depends on the residual energy, forward and reverse delivery ratio. Once the clusters are formed, nodes calculate their distance(d) from CH based on which the nodes take-in varied transmission power. Based on the nodes weight, CH and GW are re-elected periodically and this enhances the nodes lifetime. Algorithm is simulated with varied number of nodes in the network, results prove to be efficient than LCM algorithm with respect to delivery ratio, energy consumed and average delay.

Keywords: Forward and Reverse Delivery Ratio, Link Aware, Varied Transmission Power