A Novel Approach for Energy Effecient Data Aggregation Using Elephant Behavior as a Swarm Intelligence

Abstract—A wireless sensor network is a kind of ad hoc network deployed in huge number of nodes in order to sense the physical world. Its application includes both military and civilian services. The sensors are characterized by limited resources and inhibited power hence they experience limited computation, communication and power resources. A major challenge is to provide an improved operational efficiency with limited computational communication and sensing capabilities. In this work we have proposed a clustering technique that groups the sensor node for collaborative processing to enhance the data reliability during aggregation; here we use social behavior of elephants as the biologically inspired swarm intelligence. Simulations are carried out to evaluate the performance of the collaborative behavior that enhances the data aggregation in a resource constrained WSN.

Index Terms—Swarm intelligence, cluster, matriarch, data aggregation, social behavior.

M. A. Bharathi is with Department of Computer Science Engineering, RevaITM Bangalore, India and pursuing PhD in CSE from JNTU Hyderabad, India (e-mail: bmalakreddy@yahoo.com).
B. P. Vijayakumar is with Department of Telecommunication Engineering, MSRIT Bangalore, India (e-mail: vijaykbp@yahoo.co.in).
M. Mallikarjun is with Department of Information Science Engineering, RevaITM Bangalore, India (e-mail: mallikarjuna_mathada@yahoo.co.in).

[PDF]

Cite: M. A. Bharathi, B. P. Vijayakumar, and M. Mallikarjuna, "A Novel Approach for Energy Effecient Data Aggregation Using Elephant Behavior as a Swarm Intelligence," Lecture Notes on Software Engineering vol. 1, no. 2, pp. 153-155, 2013.