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Development and Evaluation of a High-Speed Simulator for Wireless Sensor Network Protocols using GPGPU

Published: 02 November 2015 Publication History

Abstract

In this research, we propose a high-speed simulator for rapidly determining protocol performance of a sensor network comprised of many terminals. We have developed this simulator by using General-Purpose Computing on Graphics Processing Units (GPGPU) technology, in which widely used Graphics Processing Units (GPUs) are applied to general-purpose computing. This simulator executes at high-speed by using the parallelism that is a structural feature of GPUs, and enables simultaneous execution of simulations with various values of the parameters in the protocol. In order to determine the effectiveness of the proposed method, a simulator for a sensor network, in which communication follows a simple protocol with carrier sensing, was realized with a system using GPGPU. As a result, it was confirmed that a high speed 4.6 times faster than the case using an ordinary CPU can be achieved when the number of terminals is 1024. It was also confirmed that 100 simulations can be carried out at a speed about 60 times faster than the case where a single simulation is repeated using a CPU in which parameters are changed in a batch fashion.

References

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T. Aoki and A. Nukada. Introductory CUDA Programming(In Japanese). Kohgakusha, Tokyo, 2009.
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D. B. Kirk, Wen-mei, and W. Hwu. Practical Course in CUDA Programming (In Japanese). Born Digital, Tokyo, 2010.
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Y. Nakamura and Y. Fuwa. Simple programming method of state transition diagrams for parallel processings. Journal of Information Processing, 5--3(1882--6652):148--154, September 1982.
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H. Nose, M. Bao, K. Mizuta, Y. Yoshikawa, H. Kunimune, M. Niimura, and Y. Fuwa. Proposal and evaluation for miniaturization and power saving of sensor network terminals. IEICE Trans. Fundamentals, W93-A(10):1735--1743, June 2010.
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H. Nose, S. Nakajyo, H. Suzuki, and Y. Fuwa. Development of a high-speed simulator for sensor network protocols using gpgpu. In The 11th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2014). IEEE Computer Society, November 2014.
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J. Sanders and E. Kandrot. CUDA by Example: Introduction to General-Purpose GPU Programming. Addison-Wesley, Massachusetts, 2010.

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    cover image ACM Conferences
    PE-WASUN '15: Proceedings of the 12th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
    November 2015
    124 pages
    ISBN:9781450337595
    DOI:10.1145/2810379
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 02 November 2015

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    Author Tags

    1. gpgpu
    2. network protocols
    3. network simulation
    4. sensor networks

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    • Ministry of Internal Affairs and Communications

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    MSWiM'15
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    Overall Acceptance Rate 70 of 240 submissions, 29%

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