Secure Link Prediction Based Cross-Layer Optimization for Next Generation Network
Anita Sethi1, Sandip Vijay2, Anurag Aeron3
1Anita Sethi, ICFAI University, Dehradun, Uttrakhand, India.
2Sandip Vijay, Shivalik Engineering College, Dehradun, Uttrakhand, India.
3Anurag Aeron, ICFAI University, Dehradun, Uttrakhand, India.
Manuscript received on 07 June 2019 | Revised Manuscript received on 13 June 2019 | Manuscript published on 30 June 2019 | PP: 2168-2173 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7117068819/19©BEIESP
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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: Scalability, Mobility, Security and Quality of Service are important factors of Network topology design. Throughput and goodput are two important performance attributes to judge the network. Next generation Network provide a flexibility of communication between heterogenous networks like wired or different wireless technologies. Performance of the network largely depends on the link availability between the nodes and data rate. Link prediction heuristic provides reliable network communication at the network layer routing protocols. In this paper we summarized the different parameters required for measuring the quality of service for network performance and different cross-layer architecture present in the literature. Packet Delivery ratio, throughput, E2E delay, goodput are observed for different routing protocols. Optimized Link Layer protocol presents the stable performance in all kind of network. It is represented in the result as the flow of information between source and destination increases average hop count and delay also increases. Mean delay value is increased by (0.17,0.31,0.54) double value as the size of grid is increased from 4, 5 and 6.
Keywords: Throughput, E2E Delay, Packet Delivery Ratio, Goodput, Link Prediction
Scope of the Article: Discrete Optimization