Abstract
We introduce a new bee-inspired routing protocol for mobile ad hoc networks. Emphasis is given to the ability of bees to evaluate paths by considering several quality factors. In order to achieve similar behaviour in the networking environment, BeeIP is using cross-layering. Fetching parameters from the lower PHY and MAC layers to the core of the protocol, offers the artificial bees the ability to make predictions about the link’s future performance. Our approach is compared with two well-known routing protocols in the area, the destination sequenced distance-vector protocol (DSDV), and the adaptive on-demand distance vector protocol (AODV). The outcome shows that BeeIP achieves higher data delivery rates and less control overhead than DSDV, and slightly better results compared to AODV, initializing less route discovery processes.
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References
Murthy, C., Siva, R., Manoj, B.S.: Ad Hoc Wireless Networks Architectures and Protocols. Prentice Hall, Englewood Cliffs (2004)
Perins, C.E., Bhagwat, P.: Highly dynamic destination-sequenced distance vector (DSDV) for mobile computers. In: ACM SIGCOMM 1994 (1994)
Clausen, T., Jacquet, P.: Optimized Link State Routing Protocol (OLSR). IETF RFC3626, http://www.ietf.org/rfc/rfc3626.txt
Johnson, B.D., Maltz, D.A.: Dynamic Source Routing in Ad-Hoc Wireless Networks. In: Imielinski, T., Korth, H. (eds.) Mobile Computing, pp. 153–181. Kluwer, Dordrecht (1996)
Perkins, C.E., Royer, E.M., Das, S.R.: Ad hoc on demand distance vector routing. IETF RFC3561, http://www.ietf.org/rfc/rfc3561.txt
Clausen, T., Jacquet, P.: Optimized Link State Routing Protocol (OLSR). IETF RFC3626, http://www.ietf.org/rfc/rfc3626.txt
Gunes, M., Sorges, U., Bouazizi, I.: ARA - The Ant-Colony Based Routing Algorithms for MANETs. IWAHN (2002)
Giagkos, A., Wilson, M.S.: A Cross-Layer Design for Bee-Inspired Routing Protocols in MANETs. In: Kyriacou, T. (ed.) Proceedings of TAROS 2009, pp. 25–32. Ulster University (2009)
Wedde, H.F., Farooq, M., Zhang, Y.: BeeHive: An Efficient Fault-Tolerant Routing Algorithm Inspired by Honey Bee Behavior. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds.) ANTS 2004. LNCS, vol. 3172, pp. 83–94. Springer, Heidelberg (2004)
Wedde, H.F., Farooq, M., Pannenbaecker, T., Vogel, B., Mueller, C., Meth, J., Jeruschkat, R.: BeeAdHoc: An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired by Bee Behavior. In: GECCO. ACM Press, New York (2005)
von Frisch, K.: The Dance Language and Orientation of Bees. Oxford University Press, Oxford (1967)
Read, T.R.C., Noel, A.C., Cressie, N.A.C.: Goodness-of-fit statistics for discrete multivariate data. Springer, Heidelberg (1988)
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Giagkos, A., Wilson, M.S. (2010). BeeIP: Bee-Inspired Protocol for Routing in Mobile Ad-Hoc Networks. In: Doncieux, S., Girard, B., Guillot, A., Hallam, J., Meyer, JA., Mouret, JB. (eds) From Animals to Animats 11. SAB 2010. Lecture Notes in Computer Science(), vol 6226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15193-4_25
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DOI: https://doi.org/10.1007/978-3-642-15193-4_25
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