Simulation platform for Wireless Sensor Networks based on the TrueTime toolbox

Research on wireless sensor networks (WSN) has received considerable attention in the last few years due to their unique characteristics, including, flexibility, self-organization, easy deployment, which make them an ideal candidate for low-cost monitoring. In order to help WSN planning and to enable the design of new protocols and applications and assess their performance, several existent simulation platforms have been extended to include simulation frameworks for WSN. In this paper, a higher level simulation platform for WSN is proposed based on the truetime toolbox. Relevant features include graphical representation of communication components, wireless communication and battery-driven operation. Special attention was paid to the 3D graphical interface, simulator interactivity and its extendibility. Simulation results demonstrate the applicability and usability of the proposed simulation platform.

[1]  David E. Culler,et al.  TOSSIM: accurate and scalable simulation of entire TinyOS applications , 2003, SenSys '03.

[2]  Manoj Kumar Tiwari,et al.  A Survey of Simulation in Sensor Networks , 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

[3]  Adam Dunkels,et al.  Cross-Level Sensor Network Simulation with COOJA , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[4]  S. Dey,et al.  Lifetime Optimization for Multi-hop Wireless Sensor Networks with Rate Distortion Constraints , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[5]  Feng Zhao,et al.  Guest Editors' Introduction: Building a Sensor-Rich World , 2007, IEEE Pervasive Computing.

[6]  Anton Cervin,et al.  TrueTime 1.1 -- Reference Manual , 2003 .

[7]  Andrea J. Goldsmith,et al.  Cross-Layer Design for Lifetime Maximization in Interference-Limited Wireless Sensor Networks , 2006, IEEE Transactions on Wireless Communications.

[8]  Dirk Pesch,et al.  Comparative Simulations of WSN , 2008 .

[9]  Andrea Bianco,et al.  Maximizing system lifetime in wireless sensor networks , 2007, Eur. J. Oper. Res..

[10]  K.-E. Arzen,et al.  How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime , 2003, IEEE Control Systems.

[11]  John S. Baras,et al.  ATEMU: a fine-grained sensor network simulator , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[12]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[13]  Qunfeng Dong,et al.  Maximizing system lifetime in wireless sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[14]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.