1. [1] D. Subramanian, P. Druschel, and J. Chen, “Ants and reinforcement learning: A case study in routing in dynamic networks, ” Technical Report, TR96-259, Rice University, 1998.
2. [2] S. Marwaha, C.K. Tham, and D. Srinivasan, “A novel routing protocol using mobile agents and reactive route discovery for ad hoc wireless networks, ” Proc. IEEE International Conference on Networks, pp.311-316, 2002.
3. [3] G.D. Caro, F. Ducatelle, and L.M. Gambardella, “AntHocNet: An ant-based hybrid routing algorithm for mobile ad hoc networks, ” Proc. 8th International Conference on Parallel Problem Solving from Nature, pp.461-470, 2004.
4. [4] Y. Ohtaki, N. Wakamiya, M. Murata, and M. Imase, “Scalable and efficient ant-based routing algorithm for ad-hoc networks, ” IEICE Trans. Commun., vol.E89-B, no.4, pp.1231-1238, April 2006.
5. [5] D.B. Johnson, D.A. Maltz, Y.C. Hu, and J.G. Jetcheva, “The dynamic source routing protocol for mobile ad hoc networks, ” IETF Internet Draft, draft-ietf-manet-dsr-09.txt, April 2003.