Enhanced Energy Aware Geographic Routing (EEGR) Algorithm for MANET
Rohit Katiyar1, Mohit Gangwar2, Vineet Kumar Singh3
1Rohit Katiyar, Lecturer, Department of Information Technology, Government Polytechnic, Aurai (U.P), India.
2Dr. Mohit Gangwar, Professor & Head, Department of Information Technology, IET, Dr. Ram Manohar Lohia Avadh University, Ayodhya (U.P), India.
3Vineet Kumar Singh, Assistant Professor, Department of Information Technology, IET, Dr. Ram Manohar Lohia Avadh University, Ayodhya (U.P), India.
Manuscript received on 29 August 2022 | Revised Manuscript received on 05 September 2022 | Manuscript Accepted on 15 September 2022 | Manuscript published on 30 September 2022 | PP: 49-52 | Volume-11 Issue-10, September 2022 | Retrieval Number: 100.1/ijitee.J926909111022 | DOI: 10.35940/ijitee.J9269.09111022
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Since the current EGR has a problem, it makes a local decision during the route discovery process to choose the next neighbour node that has the highest residual energy. This could be the worst case scenario if there is no way to stop the process and the intermediate node has lower energy than the alternate path. To solve this issue, we suggested the Enhanced Energy Aware Geographic Routing (EEGR) protocol. In EEGR, we use a modified transmission energy strategy along with numerous route requests at the destination and replies that have better node residual energy. Our simulation findings demonstrate the enhancement over the current EGR routing mechanism.
Keywords: MANET, EGR, EEGR, NS2
Scope of the Article: Graph Algorithms and Graph Drawing