Mobile Ad hoc Networks (MANETs) are a class of infrastructure less networks that are created through a number of autonomous wireless and mobile nodes. The inherent characteristics of such networks create the support of multimedia applications very challenging. In previous researches, the capacity and delay in MANETs was analyzed via considering the correlation of node mobility. Explored the characteristics of correlated mobility and figured out the essential relationships among the scheduling parameters and the network performance. However, the reliability and link stability for transmitting the packets is needed in MANET to achieve Quality of Service (QoS) support in terms of available bandwidth, high throughput and stable jitter. Hence, QoS aware metric for routing is incorporated with the Correlated Mobility (CM). In this method, Link Stability Factor(LSF) is estimated by considering received signal strength, the appropriate contention count and hop count. On the basis of the estimated LSF, stable link is determined. After that, the node with the highest LSF is elected as a reliable forwarding node. So, the proposed method improves QoS performance. The simulation results proved that our proposed methods are providing better results.

QoS aware routing, Link Stability Factor, Contention Count, Signal Strength, Capacity-Delay Tradeoff

[1] M.Anandhi, Dr.T.N.Ravi, “A reactive protocol for data communication in MANET”, 51st Annual convention of the Computer Society of India, CSI 2016, Digital Connectivity – social impact, Springer, pp. 208-222, 2016.
[2] Gangwar, S., Pal, S., & Kumar, K., “Mobile ad hoc networks: a comparative study of QoS routing protocols”, arXiv preprint arXiv:1201.5688, 2012
[3] CPerkins, “Adhoc On-Demand Distance Vector(AODV) Routing”, RFC3561[S], 2003
[4] Johnson, D., Hu, Y. C., & Maltz.D, “The dynamic source routing protocol (DSR) for mobile ad hoc networks for IPv4”, No. RFC 4728, 2007
[5] Yoon, J., Noble, B. D., Liu, M., & Kim, M., “Building realistic mobility models from coarse-grained traces”, Proceedings of the 4th international conference on Mobile systems, applications and services, ACM, pp. 177-190, 2006.
[6] Jia, R., Yang, F., Yao, S., Tian, X., Wang, X., Zhang, W., & Xu, J., “Optimal Capacity–Delay Tradeoff in MANETs With Correlation of Node Mobility”, IEEE Transactions on Vehicular Technology, Vol. 66, no. 2, pp. 1772-1785, 2017.
[7] Chaudhari, S. S., & Biradar, R. C., “Traffic and mobility aware resource prediction using cognitive agent in mobile ad hoc networks”, Journal of Network and Computer Applications, Vol. 72, pp. 87-103, 2016.
[8] Jabbar, W. A., Ismail, M., & Nordin, R., “Energy and mobility conscious multipath routing scheme for route stability and load balancing in MANETs”, Simulation Modelling Practice and Theory, Vol. 77, pp. 245-271, 2017.
[9] Moussaoui, A., Semchedine, F., & Boukerram, A., “A link-state QoS routing protocol based on link stability for Mobile Ad hoc Networks”, Journal of Network and Computer Applications, Vol. 39, pp. 117-125, 2014.
[10] Santhi, G., & Nachiappan, A., “Fuzzy-cost based multiconstrained QoS routing with mobility prediction in MANETs”, .Egyptian informatics journal, Vol. 13, no. 1, pp. 19-25, 2012.
[11] Yao, S., Wang, X., Tian, X., & Zhang, Q., “Delay-throughput tradeoff with correlated mobility of ad-hoc networks”, INFOCOM, 2014 Proceedings IEEE, pp. 2589-2597, 2014.
[12] P.Rajeswari, Dr.T.N.Ravi, “QoS-DHT Based Fault Tolerant Routing Mechanism for Improving Link Stability in MANET”, International Journal of Computer Technology and Applications, ISSN: 2229 6093, Vol. 6, no. 6, pp. 1021-1029, 2015.