CLUSTERING METHODS FOR IMPROVED WIRELESS SENSOR NETWORK

Category: Previous Issue Created: Friday, 06 October 2017 Published: Friday, 06 October 2017 Written by Akhilesh A. Waoo*, Shivani Patnaha and Sanjay Sharma

Department of Computer Science, Faculty of Engineering, AKS University, Sherganj Road, Satna- 485001 (M.P) India

Department of Computer Application, MANIT, BHOPAL- 462003 (M.P) India

*Corresponding Author: E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

*Corresponding author : Akhilesh A. Waoo1*, Shivani Patnaha1and Sanjay Sharma2

*Corresponding Author: E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

           

ABSTRACT

Wireless Sensor Network (WSN) is a type of network in which the nodes are self-configured and infrastructure-less. With the use of Wireless Sensor Networks (WSNs) we can easily monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants. After collecting all these aspects and data we analyzed and monitor them in main location and after monitoring and observation report is prepared.

The basic units of WSNs are sensors which are low-cost and low power. In this research paper, we are reviewing different Probabilistic clustering techniques to improve the network life time.

 

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