A reliable multicast framework for light-weight sessions and application level framing
IEEE/ACM Transactions on Networking (TON)
Scalability study of the ad hoc on-demand distance vector routing protocol
International Journal of Network Management
Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
ARA - The Ant-Colony Based Routing Algorithm for MANETs
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
Performance analysis of the AntNet algorithm
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy Efficient Expanding Ring Search
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
A Performance Comparison of Swarm Intelligence Inspired Routing Algorithms for MANETs
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
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The basic routing problem in MANET deals with methods to transport a packet across a network from source node to destination node. In this paper, we introduce a new ant based routing protocol to optimize the route discovery and maximize the efficiency of routing in terms of packet delivery ratio (PDR) using the blocking expanding ring search (Blocking-ERS), third party route reply, local route repair and n-hop local ring techniques. These techniques control the overhead and minimize the end-to-end delay with improvement of PDR. The Optimized-Ant routing protocol is based on ad hoc on-demand distance vector (AODV) and inspired by the ant-colony optimization (ACO) used to solve complex optimization problems and utilizes a collection of mobile agents as "ants" to perform optimal routing activities. Exhaustive simulations are carried out and it is observed that, Optimized-Ant performs better than AODV.