Abstract

From the past, Mobile Ad Hoc Network (MANET) has involved a lot of courtesy of academics and industry. MANET deals with infrastructure less system and ever fluctuating topology linkage system. The wireless collaborating devices are small in size and low-cost. So MANET nodes are not able to store all the routing data in it. In the field of Mobile Ad hoc Network, the various challenges are taken into consideration namely data collision, complexity, signal strength, packet loss and energy consumption. To work in any network, the energy consumption is a main aspect for formation and deformation of the network. For the efficiently utilization of energy in Network field are the main objective by the researcher. Form the surveying, work is done on the wireless Sensor Network using RDA Model which significantly decreases in energy consumption. This scenario of the energy consumption is only applicable to the limited node hopes with it. This limitation of the single hope and energy efficiency are the problem to be undertaken in this proposed work. In this research paper, we proposed the the radiation pattern using a directional antenna to evaluate the energy consumption in rendezvous phase and full scanning phase. Implement genetic optimization for evaluating the optimize energy consumption in all directions based on path losses and received signal strength. To compare the performance in terms of energy consumption and the collision rate with the base technique.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.