Next-Generation MANET Simulator for Realistic Pedestrian Flow and Traffic Dynamics
Discover the innovative MANET simulator designed to mimic realistic pedestrian flow and dynamic events such as traffic jams. This next-generation tool enables users to define simulation areas, input mobility models, and visualize behaviors in real-time. With advanced features including user inputs for network applications and output generation, our simulator allows for enhanced understanding of node interactions under various scenarios. Whether for urban pedestrian dynamics or detailed network behavior analysis, this tool provides a comprehensive platform for simulation and study.
Next-Generation MANET Simulator for Realistic Pedestrian Flow and Traffic Dynamics
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Presentation Transcript
Random Mobility in Simulation You cannot simulate appropriately with this mobility
That is, next-generation simulator for MANET which can create realistic pedestrian flow and dynamic action Traffic jam occurs far ahead
Behavior Simulator Network Simulator Simulation Area Input Mobility Models Simulation Scenario • Positions of mobile nodes • User’s input to network applications • Output from network applications Input Network Applications
Behavior Simulator Network SImulator Simulation Area Input Mobility Models Simulation Scenario • Positions of mobile nodes • User’s input to network applications • Output from network applications Input Network Applications
Source code for behavior simulator is generated Specifying Simulation Area
Behavior Simulator Network Simulator Simulation Area Input Mobility Models Simulation Scenario • Positions of nodes • User’s input to network applications • Output from network applications Input Network Applications
… if(crowded()&& prob(0.8)){ dst.r = detour_path(); return; }… … if(crowded() && prob(0.8)){ dst.r = detour_path(); return; }… … if(crowded() && prob(0.8)){ dst.r = detour_path(); return; }… 店 I received information of the shop sale go to the shop … if(receive_from_net(“ad”)){ put(dst); dst = destination(shop); dst.r = shortest_path(); return; }… … if(receive_from_net(“ad”)){ put(dst); dst = destination(shop); dst.r = shortest_path(); return; }… … if(receive_from_net(“ad”)){ put(dst); dst = destination(shop); dst.r = shortest_path(); return; }… Forward is crowded take another path
Behavior Simulator Network Simulator Simulation Area Input Mobility Models Simulation Scenario • Positions of nodes • User’s input to network applications • Output from network applications Input Network Applications
Specifying Simulation Scenario - Urban Pedestrian Flow - • Input:density of nodes on the roads • Input:routes of pedestrians • get ratio of nodes following each route compute LP
Source code for behavior simulator is generated Specifying Simulation Scenario - Urban Pedestrian Flow -
Behavior Simulator trace file Compile … if(crowded()&& prob(0.8)){ dst.r = detour_path(); return; }… Network Simulator Source cords Simulation Animation Simulation
Demo : DSR Real-Time Communication • Upper-left node communicates with lower-right node • Packet • Black • communicating • (data packet) • Pink • finding routes • (route request) • Yellow • link down • (route error) • Green • find a route • (route reply)
