Energy Efficiency in AODV using Flower Pollination Algorithm

Energy Efficiency in AODV using Flower Pollination Algorithm
Authors : Harneet Kaur
Publication Date: 10-03-2017


Author(s):  Harneet Kaur

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 03 , March - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS030107


The science of computer networking and the advancements in the mobile devices enabled the capability of communicating with each other even in the absence of preexisting communication infrastructure. These networks require specialized routing protocols due to their ad hoc nature. Currently, the wireless sensor network is facing four major issues namely power management, localization, routing and deployment techniques. Out of these in power management, energy conservation and coverage efficiency are the main issues. Energy is the main constraint of wireless sensor networks (WSNs) due to irreplaceable and limited power sources of the sensor nodes. We will study the AODV routing protocol and use some algorithms to improve the AODV routing and to make the AODV routing protocol more efficient and reliable. AODV is the ad-hoc on demand routing protocol in which the routes are created and terminated as per requirement of the data transfer in the network. Hence the shortest path is required for data transfer. If the same path is followed again and again, nodes will be out of battery and whole network will be affected. So we need to decrease the power consumption by the nodes by decreasing the load on the nodes and hence thereby increasing the lifetime of the nodes. In wireless monitoring systems, these quality of service factors are very crucial and are required to make the system reliable. In this paper we have proposed an efficient optimized routing technique using flower pollination algorithm.


Number of Citations for this article:  Data not Available


Key Word(s):    


Number of Downloads:     23

Call for Papers - May - 2017



                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book