J-Sim A Simulation Environment for Wireless Sensor Networks

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...

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Veröffentlicht in:38th Annual Simulation Symposium S. 175 - 187
Hauptverfasser: Sobeih, Ahmed, Chen, Wei-Peng, Hou, Jennifer C., Kung, Lu-Chuan, Li, Ning, Lim, Hyuk, Tyan, Hung-Ying, Zhang, Honghai
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 04.04.2005
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Acoustic sensors
Biosensors
Chemical and biological sensors
Component architectures
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Computing methodologies > Modeling and simulation > Simulation support systems > Simulation environments
Java
Monitoring
Networks > Network types > Mobile networks
Networks > Network types > Wireless access networks
Object oriented modeling
Open source software
Software and its engineering > Software notations and tools > General programming languages > Language types > Object oriented languages
Wireless communication
Wireless sensor networks
ISBN:9780769523224, 0769523226
ISSN:1080-241X
Online-Zugang:Volltext
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Zusammenfassung: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 - 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).
Bibliographie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:9780769523224
0769523226
ISSN:1080-241X
DOI:10.1109/ANSS.2005.27