This paper is published in Volume-3, Issue-4, 2017
Area
Wireless Sensor Networks
Author
Naziya Anjum
Co-authors
Masood Ahmad, Dr. Shafeeq Ahmad
Org/Univ
Azad Institute of Engineering & Technology, Lucknow, India
Pub. Date
31 July, 2017
Paper ID
V3I4-1263
Publisher
Keywords
Wireless Sensor Networks, Routing, Clustering, Network Lifetime, Energy Efficiency.

Citationsacebook

IEEE
Naziya Anjum, Masood Ahmad, Dr. Shafeeq Ahmad. Gateway Based Energy Efficient Routing: GEER, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Naziya Anjum, Masood Ahmad, Dr. Shafeeq Ahmad (2017). Gateway Based Energy Efficient Routing: GEER. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Naziya Anjum, Masood Ahmad, Dr. Shafeeq Ahmad. "Gateway Based Energy Efficient Routing: GEER." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

Wireless Sensor Networks comprise of an extensive number of little and minimal effort sensor nodes energised by little non rechargeable batteries and furnished with different detecting gadgets. WSN is sent, most likely in a rough and inhospitable landscape, it is relied upon that all of a sudden dynamic to accumulate the required information for a few times when something is identified, and after that outstanding to a great extent idle for drawn out stretches of time. In this way, scientists are constantly persuaded to configuration create effective energy efficient plans and relating calculations with a specific end goal to give sensible optimal utilization of battery power and to enhance the system lifetime for WSNs. The lifetime of wireless sensor network systems is enhanced by cluster location and balancing the network loading among the clusters. In this research work a gateway based technique has been contemplated. The nodes have been isolate into ordinary, middle of the road and progressed in light of their vitality arrangement and every class has its own particular paradigm for determination likelihood. The calculation performs well as far as number of alive nodes, network lifetime, average energy and so forth. A comprehensive investigation as far as different graphical parameters is additionally introduced in this work.
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