Non Linear Differential Optimization for Quality Aware Resource Efficient Routing in Mobile Ad Hoc Networks
M. Ilango1, A. V. Senthil Kumar2

1M. Ilango, Research Scholar, Hindusthan College of Arts and Science, Coimbatore.
2Dr. A. V. Senthil Kumar, Director of MCA, Hindusthan College of Arts and Science, Coimbatore.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 1661-1668 | Volume-9 Issue-1, October 2019 | Retrieval Number: F8847088619/2019©BEIESP | DOI: 10.35940/ijeat.F8847.109119
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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: MANETs is the basic structure less network in which mobile nodes connecting point at which several line comes together to form a network structure. Network resources in MANETs are limited due to their forcefulness study of a given place. A mobile node in MANETs utilizes an interconnected system of things such as data transmission rate and battery power during data packet transmission. Thus the conserving network resource is important to maintain the quality of network services without delay. Therefore, Non-linear Differential Resource Optimization based Quality Aware Routing (NLDRO-QAR) Technique is proposed. The NLDRO-QAR Technique selects the resource optimized route path among multi paths for efficient data packet transmission in MANETs. The resource optimized route path is determined in proposed NLDRO-QAR Technique by choosing mobile node with higher resource availability as optimal nodes. The NLDRO-QAR Technique considers residual energy, residual bandwidth, and delay time as significant factor for computing resource availability of mobile nodes in MANETs. In order to effectively find out the optimal nodes (i.e. mobile node with higher resource availability) in dynamic environment. The NLDRO-QAR Technique chooses the resource optimized nodes in MANETs in order to transmit the packets between source and destination. As a result, NLDRO-QAR Technique efficiently reduces the energy and bandwidth utilization of data delivery in MANETs. The NLDRO-QAR method manage the simulation works on metrics such as energy utilization, average end to end delay, data loss rate and bandwidth utilization rate. The simulations results show that the NLDRO-QAR Technique is able to reduce the energy and bandwidth utilization for routing the data packet in MANETs as compared to state-of-the-art-works.
Keywords: Bandwidth, Quality of Network Service, Packet transmission, Mobile Node, Non-linear Differential model, Energy, Resources.