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Mobile Ad hoc network (MANET) is an autonomous system of mobile hosts (nodes) connected by wireless link forming a temporary network without the aid of any established infrastructure or centralized administration. Typical applications of MANETs are: emergency and rescue operations, disaster relief efforts, military operations and exploration mission where cellular infrastructure is unavailable. The main problem of mobile ad hoc networks is to design routing protocols allowing for communication between the hosts. The dynamic nature of ad hoc networks makes this problem especially challenging. Communication in MANET is multi-hop due to limited transmission range; this decentralized operation relies on the cooperative participations of all nodes. MANETs are considered as complex system characterized by high dynamic topology, local interactions, auto-organization and emergence. Modeling and simulation are very important in the design and development of distributed interacting system because of their particular stochastic nature. This article seeks to use agent-based tools for modeling ad hoc network. We focus on Netlogo, an important tool in the modeling and simulation domain of complex system. We have successfully implemented distributed Dijkstra's shortest path algorithm to solve the routing problem. Obtained Results show the quick convergence of Dijkstra's Algorithm to shortest paths relating a source node with all accessible destinations.

Netlogo Agent based tool for Modeling and Simulation of Routing Problem in Ad hoc Networks