Reducing WSN Simulation Runtime by using Multiple Simultaneous Instances

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Pedro Pinto (Author) Other; Antnio Pinto (Author) Other; Manuel Ricardo (Author) FEUP

Conference proceedings International

Title: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014)

International Conference on Numerical Analysis and Applied Mathematics (ICNAAM)

Rhodes, GREECE, SEP 22-28, 2014

Indexing

ISI Web of Knowledge - 0 Citations

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Scientific classification

FOS: Natural sciences > Mathematics

Other information

Authenticus ID: P-00G-BD3

DOI: 10.1063/1.4912936

Abstract (EN): WSN can be deployed using widely available hardware and software solutions. The Contiki is an open source operative system compatible with a wide range of WSN hardware. A Contiki development environment named InstantContiki is also available and includes the Cooja simulation tool, useful for the simulation of WSN scenarios, prior to their deployment. This simulation tool can provide realistic results since it uses the full Contiki's source code and some motes can be emulated at the hardware level. However, the Cooja simulator uses one process per simulation, not taking advantage of multiple core processors. In this paper we propose a framework to automate the execution of simulations of multiple scenarios and configurations in Cooja. When a multiple cores processor is available, this framework can run multiple simultaneous Cooja instances, taking advantage of processing resources and contributing to reduce the total simulation runtime.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4