A reliable optimized clustering in MANET using Ant Colony algorithm

  • Jeena John, Pushpalakshmi R.
  • April 2014, Institute of Electrical & Electronics Engineers (IEEE)
  • DOI: 10.1109/iccsp.2014.6949797

Reliable optimized clustering using ACO

What is it about?

This work mainly focus on the optimization of energy consumption and stability of the node in network. The modified Ant algorithm optimizes communication workload, node lifetime, and mobility. The probability function is calculated by using the parameters such as residual energy, energy drain rate and mobility factor. Node that has the maximum value for the probability function will select as a cluster head. The overall communication workload is calculated periodically. If its value is high, then cluster head is reassigned.

Why is it important?

The advantage of the proposed algorithm is that it can better balance the energy consumption of the nodes and increase the stability of the node. Experiment results show that the proposed work results in more energy efficient and stabilized clusters.


Dr Pushpa R Lakshmi

The work is about cluster optimization by mainly focusing on energy consumption and stability of the node.

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The following have contributed to this page: Dr Pushpa R Lakshmi