Congestion Control Through EDA with Shortest Path
Seyed Amin Ahmadi Olounabadi1, Avula Damodaram2, V Kamakshi Prasad3, PVS Srinivas4
1Seyed Amin Ahmadi Olounabadi *, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana.
2Avula. Damodaram, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana.
3V Kamakshi Prasad, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana.
4PVS SRINIVAS, Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana
Manuscript received on November 25, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 242-245 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3661129219/2019©BEIESP | DOI: 10.35940/ijeat.B3661.129219
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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: Ad hoc mobile networks contain remote nodes linking through electronic media, without any set backend facilities. Disturbance happens in any type of intermediate nodes in these networks when data packages travel from resource to destination, leading to high package loss and also lengthy delay, triggering network efficiency destruction. This paper presents EDAODV congestion and also command directing protocol for mobile ad-hoc networks. Via determining line position and also identifying congestion degrees, EDAODV senses node-level blockage. Based on blockage rates, EDAODV makes use of the uncongested precursor and successor nodes of an overloaded node as well as starts bi-directional processes to determine alternative, uncongested courses in between them for data transmission. The algorithm discovers a lot more non-congested remedies, picking the very best solitary course for data transmission.
Keywords: Congestion, EDA, EDAODV, Mobile Networks