J-Sim: A Simulation Environment for Wireless Sensor Networks

  • Authors:

  • Ahmed Sobeih;Wei-Peng Chen;Jennifer C. Hou;Lu-Chuan Kung;Ning Li;Hyuk Lim;Hung-Ying Tyan;Honghai Zhang

  • Affiliations:

  • University of Illinois at Urbana-Champaign;Fujitsu Labs. of America, Inc.;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;National Sun Yat-Sen University;University of Illinois at Urbana-Champaign

  • Venue:
  • ANSS '05 Proceedings of the 38th annual Symposium on Simulation
  • Year:
  • 2005

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Abstract

Wireless Sensor Networks (WSNs) have gained considerable attention in the past few years. As such, there has been an increasing need for defining and developing simulation frameworks for carrying out high-fidelity WSN simulation. In this paper, we present a modeling and simulation framework for WSNs in J-Sim 驴 an open-source, component-based compositional network simulation environment that is developed entirely in Java. This framework is built upon the autonomous component architecture (ACA) and the extensible internetworking framework (INET) of J-Sim, and provides an object-oriented definition of (i) target, sensor and sink nodes, (ii) sensor and wireless communication channels, and (iii) physical media such as seismic channels, mobility model and power model (both energy-producing and energy-consuming components). Application-specific models can be defined by sub-classing classes in the simulation framework and customizing their behaviors. We demonstrate the use of the proposed WSN simulation framework by implementing several well-known localization, geographic routing, and directed diffusion protocols. In addition, we perform performance comparisons (in terms of execution time incurred, and the memory used) in simulating several typical WSN scenarios in J-Sim and ns-2. The simulation study indicates that the proposed WSN simulation framework in J-Sim is much more scalable than ns-2 (especially in memory usage).