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Locality Detection in Wireless Sensor Network using Population based Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 4 |
| Year of Publication: 2012 |
| Authors: Avinash Kaur, Sonu Agrawal |
10.5120/8030-1309
|
Avinash Kaur, Sonu Agrawal . Locality Detection in Wireless Sensor Network using Population based Algorithm. International Journal of Computer Applications. 51, 4 ( August 2012), 26-28. DOI=10.5120/8030-1309
Abstract
Artificial Bee Colony Algorithm is a population based optimization method depends on the behaviour of natural honey bees. It works on the concept of natural bees for finding nectar food source. In this we show how ABC is applied for the application of location detection in wireless environment. Wireless Sensor Networks (WSN) is used for hunt down targets, environmental supervising etc. While these networks are widely used in many applications, their success highly depends on the sensor node positions known as network deployment. Determining the position of sensor nodes is the main objective of deployment network which directly depends on the coverage of the concerned region. To locate sensors, Global Positioning System (GPS) is also used by which sensors know their position. But, this method is not feasible due to economic issues. So, only a small part of the network can affordably be equipped with GPS, and an automatic localization process is required for the rest of the nodes in the network. We guess random solutions and then apply some method to find the best possible solution.
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