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Ant Optimized Link Quality for Ad Hoc on Demand Distance Vector

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Abstract

The wireless interfaces in Mobile Ad-Hoc Networks (MANETs) have limited transmission range and traffic is relayed through intermediate nodes to ensure intra node communication. Routing plays an important role in network reliability and performance. MANET’s characteristics like mobility and resource constraints adversely affect routing performance. A new MANET routing method based on Ad hoc On- demand Distance Vector (AODV) and Ant Colony Optimization is proposed in this paper. Ad hoc networks can emulate achievement of complex solutions with limited intelligence and individual capacity as seen in ant communities. A new link quality metric enhances AODV routing algorithm to enable it to handle link quality to evaluate routes between nodes.

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References

  1. Aalam, Z., Agarwal, S., & Khandelwal, S. (2011). Gateway load balancing in integrated internet-manet using modified AODV routing protocol. In Proceedings of the international conference & workshop on emerging trends in technology (pp. 1371–1371). ACM.

  2. Toh, C.-K. (2002). Ad hoc mobile wireless networks: Protocols and systems. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  3. Ma, C., Meng, J., & Zhang, H. (2011). Integrated routing strategy with high survivability for mobile ad hoc network. Jisuanji Yingyong/ Journal of Computer Applications, 31(11).

  4. Perkins, C. E., & Bhagwat, P. (1994). Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. Proceedings of ACM SIGCOMM’94 (Vol. 24, pp. 234–244).

  5. Clausen, T., & Jacquet, P. (2003). Optimized link state routing protocol (OLSR). In RFC 3626: Optimized link state routing protocol (OLSR).

  6. Pei, G., Gerla, M., & Chen, T.-W. (2000). Fisheye state routing: A routing scheme for ad hoc wireless networks. In Proceedings of IEEE ICC 2000 (Vol. 1, pp. 70–74).

  7. Alandzi, V., & Quintero, A. (2007). Proximity aware routing in ad hoc networks. Journal of Computer Science, 3(7), 533–539.

    Article  Google Scholar 

  8. Nakasuwan, J., & Rakluea, P. (2010). Performance comparison of aodv and olsr for manet. In Control automation and systems (ICCAS), 2010 international conference on (pp. 1974–1977). IEEE.

  9. Perkins, C. E., Royer, E. M., & Das, S. R. (1999). Ad hoc on-demand distance vector (AODV) routing. In Proceedings of IEEE workshop on mobile computing systems and applications, pp. 90–100.

  10. Johnson, D. B., Maltz, D. A., & Hu, Y. (2003). The dynamic source routing protocol for mobile ad hoc networks (DSR), IETF MANET.

  11. Toh, C. K. (1997). Associativity-based routing for ad hoc mobile networks. Wireless Personal Communications Journal, Special Issue on Mobile Net-working and Computing Systems, Kluwer, 4(2), 103–139.

  12. Dowling, J., Curran, E., Cunningham, R., & Cahill, V. (2005). Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems And Humans, 35(3).

  13. Hauspie, M., Simplot, D., & Carle, J. (2002). Replication decision algorithm based on link evaluation services in MANET. In CNRS UPRESA 8022—LIFL University Lille.

  14. Gunes, M., Sorges, U., & Bouazizi, I. (2002). ARA—The ant-colony based routing algorithm for MANETs. In Proceedings of the international conference on parallel processing workshops (ICPPW’02) on ad hoc networks (IWAHN 2002), pp. 79–85.

  15. Tsai, H.-M., Wisitpongphan, N., & Tonguz, O. K. (2006). Link-quality aware ad hoc on demand distance vector routing protocol. In International symposium on wireless pervasive computing 2006, p. 6.

  16. Dorigo M., & Di Caro, G. (1999). Ant colony optimization: a new meta-heuristic. In Proceedings of the congress on evolutionary computation.

  17. The Network simulator The Network Simulator ns-2. Project web page available at http://www.isi.edu/nsnam/ns/.

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Balaji, V., Duraisamy, V. Ant Optimized Link Quality for Ad Hoc on Demand Distance Vector. Wireless Pers Commun 79, 763–771 (2014). https://doi.org/10.1007/s11277-014-1885-x

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