Congestion control and packet recovery for cross layer approach in MANET
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Mobile Adhoc network is a network, which has advances of dynamic topology, mobility of nodes and congestion control. It is also an infrastructure less networks. This paper “Congestion control and packet Recovery for cross layer approach” is proposed. Traffic of packets occurred due to congestion and contention problems are reduced in datalink layer and transport layer. Also ensuring that, the superior performance of congestion is a challenging model due to changes in link layer contentions, topological changes and characteristic of wireless channel. The features of this model were localized packet recovery, deterministic, ability to trade of efficiency and peer to peer recovery. It can retrieve the missing packets by storing the copy of packet. Also by assigning priority order to the packets, data traffic congestion rate of higher and lower priority packets are maintained. This will develop the high priority flow to get desired access to the medium and its flow rate of low priority is adjusted, in order to have high flow rate of higher priority. Therefore the overall performance gives the better result than existing method. The simulation of CCPRCLA is verified using ns2 simulator, then graph and experimental results are discussed.
KeywordsMANET Congestion control Contention control Packet recovery Priority order
- 2.Abinaya, S., Arulkumaran, G.: Detecting black hole attack using fuzzy trust approach in MANET. Int. J. Innov. Sci. Eng. Res. 4(3), 102–108 (2017)Google Scholar
- 6.Dalal, P., Dasgupta, K.S.: TCP performance issues and related enhancement schemes over wireless network environment. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(4), 453–459 (2012)Google Scholar
- 8.Kaur, G., Kaint, K., Kumar, R.: Congestion control in MANET using various approaches: a review. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 6(6), 846–850 (2016)Google Scholar
- 9.Hu, X., Guo, W.: Congestion control in wireless software defined networks with propagation delay and external interference: a robust control approach. Mob. Inform. Syst. (2016). https://doi.org/10.1155/2016/3454651