Call For Paper Volume:4 Issue:10 Oct'2017 |

Effectual Bio-Inspired Algorithm for Wireless Sensor Networks

Publication Date : 10/07/2015

Author(s) :

Rajiv R. Bhandari , Khyati R. Nirmal.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

A Wireless Sensor Network (WSN) involves a large number of sensor nodes that can be used together data when a specific event occurs in the sensor network. There are numerous challenges in WSNs due to communication link failures, memory and processing restrictions and also limited energy. Many issues in WSNs are approached through bio-inspired techniques such as Swarm Intelligence (SI). Some of the SI based algorithms are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). A mobile node can be used to gather data from the sensor nodes. A path of minimum length for sensing data collection by using ABC algorithm is proposed. It helps to minimize the energy consumption in WSN. The proposed algorithm is able to successfully improve the efficiency in WSNs in terms of minimizing network traffic and maximizing sensor network lifetime.

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