This paper is published in Volume-4, Issue-6, 2018
Area
Networking
Author
P. Rupesh Reddy, K. Venkata Pavan, A. Dinesh Reddy, R. Manikanta, Dr. I. Chandra
Org/Univ
Saveetha School Of Engineering, Kuthambakkam, Tamil Nadu, India
Pub. Date
21 November, 2018
Paper ID
V4I6-1234
Publisher
Keywords
Bandwidth optimization, Execution time, Energy consumption, Time delay, Different algorithm techniques

Citationsacebook

IEEE
P. Rupesh Reddy, K. Venkata Pavan, A. Dinesh Reddy, R. Manikanta, Dr. I. Chandra. Bandwidth optimization using different algorithm techniques in wireless sensor networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
P. Rupesh Reddy, K. Venkata Pavan, A. Dinesh Reddy, R. Manikanta, Dr. I. Chandra (2018). Bandwidth optimization using different algorithm techniques in wireless sensor networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.

MLA
P. Rupesh Reddy, K. Venkata Pavan, A. Dinesh Reddy, R. Manikanta, Dr. I. Chandra. "Bandwidth optimization using different algorithm techniques in wireless sensor networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.

Abstract

The main aim of this bandwidth optimization is to transmit data packets from the sender to the receiver without any time delay and loss of packets. Using high bandwidth utilization we can send data to the users with low delay. In this paper, we discussed many algorithm techniques which can minimize the energy consumption, minimal time delay, avoiding un-usable bandwidth on the routing network, execution time. It makes a flexible network between users, avoid traffic rules and provide good network services between the peer to peer systems. The main purpose of this optimization is to provide quality packets from sender to receiver and vice versa at the same time, like a video or audio data by initializing without loss of any IP address. It builds a large bandwidth to transmission of data from source to destination. And it reduces the unusable bandwidth. We used some logarithms to transfer the data in equal time and increase bandwidth as well as transmission of speed.