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Detailed Simulation of Large-Scale Wireless Networks

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Gabriele D'Angelo
Gabriele D'Angelo

WiFra is a new framework for the detailed simulation of very large-scale wireless networks. It is based on the parallel and distributed simulation approach and provides high scalability in terms of size of simulated networks and number of execution units running the simulation. In order to improve the performance of distributed simulation, additional techniques are proposed. Their aim is to reduce the communication overhead and to maintain a good level of load-balancing. Simulation architectures composed of low-cost Commercial-Off-The-Shelf (COTS) hardware are specifically supported by WiFra. The framework dynamically reconfigures the simulation, taking care of the performance of each part of the execution architecture and dealing with unpredictable fluctuations of the available computation power and communication load on the single execution units. A fine-grained model of the 802.11 DCF protocol has been used for the performance evaluation of the proposed framework. The results demonstrate that the distributed approach is suitable for the detailed simulation of very-large scale wireless networks.

TechnologyEconomy & Finance
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Gabriele D’Angelo joint work with Michele Bracuto University of Bologna Department of Computer Science DS-RT 2007 – Crete Island (Greece) Detailed Simulation of Large-Scale Wireless Networks
Presentation outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Basic assumptions ,[object Object],[object Object],[object Object],[object Object]
Basic assumptions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Synchronization ,[object Object],[object Object],[object Object]
Goals ,[object Object],[object Object],[object Object],[object Object]
Distributed simulation: definitions ,[object Object],[object Object],[object Object]
Synchronization + Load Balancing ,[object Object],[object Object],[object Object],[object Object]
Migration-based approach ,[object Object],[object Object]
Load-balancing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Load-balacing ,[object Object],[object Object],[object Object],[object Object]
ART ÌS: parallel and distributed simulation middleware ,[object Object],[object Object],[object Object]
GAIA+ : communication and computation load-balancing ,[object Object],[object Object],[object Object]
WiFra : Wireless Framework ,[object Object],[object Object],[object Object]
Experimental evaluation Wireless model parameters Simulation time-step 10 μs (802.11 SIFS) MAC layer IEEE 802.11 DCF Packet size 1024 bytes Packet rate 4 pkt/s Propagation model Transmission range Free space propagation 250 meters Simulated area Variable size Fixed density of nodes Nominal channel bit rate 2 Mbps Mobility model Random WayPoint (RWP) Simulated devices (SMHs) 200.000, 1.000.000
Experimental evaluation: distributed simulation environment 200.000 SMHs. 1 up to 8 PEUs: Dual Core Intel Pentium IV CPU 3.0 GHz with 1GB of RAM, interconnected by Fast Ethernet
Experimental evaluation: GAIA+ ON/OFF
Experimental evaluation: massively populated scenario ,[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental evaluation: massively populated scenario
Experimental evaluation: massively populated scenario The gain in terms of performance is up to 21% More complex user level protocols would increase this gain
Conclusions and future work ,[object Object],[object Object],[object Object],[object Object]
Gabriele D’Angelo joint work with Michele Bracuto University of Bologna Department of Computer Science DS-RT 2007 – Crete Island (Greece) Detailed Simulation of Large-Scale Wireless Networks

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Detailed Simulation of Large-Scale Wireless Networks

  • 1. Gabriele D’Angelo joint work with Michele Bracuto University of Bologna Department of Computer Science DS-RT 2007 – Crete Island (Greece) Detailed Simulation of Large-Scale Wireless Networks
  • 2.
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  • 15. Experimental evaluation Wireless model parameters Simulation time-step 10 μs (802.11 SIFS) MAC layer IEEE 802.11 DCF Packet size 1024 bytes Packet rate 4 pkt/s Propagation model Transmission range Free space propagation 250 meters Simulated area Variable size Fixed density of nodes Nominal channel bit rate 2 Mbps Mobility model Random WayPoint (RWP) Simulated devices (SMHs) 200.000, 1.000.000
  • 16. Experimental evaluation: distributed simulation environment 200.000 SMHs. 1 up to 8 PEUs: Dual Core Intel Pentium IV CPU 3.0 GHz with 1GB of RAM, interconnected by Fast Ethernet
  • 17. Experimental evaluation: GAIA+ ON/OFF
  • 18.
  • 19. Experimental evaluation: massively populated scenario
  • 20. Experimental evaluation: massively populated scenario The gain in terms of performance is up to 21% More complex user level protocols would increase this gain
  • 21.
  • 22. Gabriele D’Angelo joint work with Michele Bracuto University of Bologna Department of Computer Science DS-RT 2007 – Crete Island (Greece) Detailed Simulation of Large-Scale Wireless Networks