New PDF release: Advanced Methods, Techniques, and Applications in Modeling

By Sangwon Chae, Soon-Bin Yim, Youngshin Han (auth.), Jong-Hyun Kim, Kangsun Lee, Satoshi Tanaka, Soo-Hyun Park (eds.)

ISBN-10: 4431542159

ISBN-13: 9784431542155

ISBN-10: 4431542167

ISBN-13: 9784431542162

This booklet is a compilation of study accomplishments within the fields of modeling, simulation, and their functions, as awarded at AsiaSim 2011 (Asia Simulation convention 2011). The convention, held in Seoul, Korea, November 16–18, used to be prepared through ASIASIM (Federation of Asian Simulation Societies), KSS (Korea Society for Simulation), CASS (Chinese organization for process Simulation), and JSST (Japan Society for Simulation Technology). AsiaSim 2011 supplied a discussion board for scientists, academicians, and execs from the Asia-Pacific area and different components of the area to percentage their newest interesting learn findings in modeling and simulation methodologies, options, and their instruments and functions in army, communique community, undefined, and basic engineering problems.

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Additional info for Advanced Methods, Techniques, and Applications in Modeling and Simulation: Asia Simulation Conference 2011, Seoul, Korea, November 2011, Proceedings

Example text

PARSEC: A Parallel Simulation Environment for Complex System. UCLA Technical Report (1997) 14. CrossBow: MPR/MIB Users Manual (2005) 15. net/ 16. Atmel: ATmega128(L) Complete (2006) 17. 2 (2004) 18. : Simulating Computer System: Techniques and Tools. MIT Press (1987) 19. : Simulation-based Optimization of Communication Protocols for Large-scale Wireless Sensor Networks. com 2 Unit 63963 PLA, Beijing 100072, China 3 College of Information Systems and Management, National University of Defense Technology, Changsha, 410073, China Abstract.

That is, an executed event creates a new event on an average. The queue operation time can be described as follows: Tqueue = aseN , (2) where a is the access time of the event queue, s is the average number of search operations, e is the average number of events executed by a sensor node, and N is the number of sensor nodes. The total number of events executed during a unit time is eN. PASENS is implemented by using smpl [18] adopting sequential searching as a 20 B. -H. Kim simulation engine. Since the average length of the event-queue is assumed by kN, the average number of search operations s can be represented as kN/2, where k is the average number of events generated by a sensor node.

Fig. 4. The simulation results according to the number of sensor nodes in parallel simulation. (a) Simulation time. (b) Speedup. 22 B. -H. Kim We carry out the third experiment to verify the speedup formula in Section 5. The formula predicts that the speedup is close to the square of the number of LPs as the number of sensor nodes increases. In this experiment, speedups are measured when the number of sensor nodes is increased from 100 to 2,000 and the number of LPs is two or ten. Fig. 5 shows that the speedup approaches the square of the number of LPs.

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Advanced Methods, Techniques, and Applications in Modeling and Simulation: Asia Simulation Conference 2011, Seoul, Korea, November 2011, Proceedings by Sangwon Chae, Soon-Bin Yim, Youngshin Han (auth.), Jong-Hyun Kim, Kangsun Lee, Satoshi Tanaka, Soo-Hyun Park (eds.)


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