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Simulators for Wireless Sensor Networks: A Review

by Rakesh Sharma, Pinki Sharma, V. A. Athavale, Sunil Kaushik
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 6
Year of Publication: 2013
Authors: Rakesh Sharma, Pinki Sharma, V. A. Athavale, Sunil Kaushik
10.5120/13119-0469

Rakesh Sharma, Pinki Sharma, V. A. Athavale, Sunil Kaushik . Simulators for Wireless Sensor Networks: A Review. International Journal of Computer Applications. 75, 6 ( August 2013), 39-46. DOI=10.5120/13119-0469

@article{ 10.5120/13119-0469,
author = { Rakesh Sharma, Pinki Sharma, V. A. Athavale, Sunil Kaushik },
title = { Simulators for Wireless Sensor Networks: A Review },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 6 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number6/13119-0469/ },
doi = { 10.5120/13119-0469 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:35.612828+05:30
%A Rakesh Sharma
%A Pinki Sharma
%A V. A. Athavale
%A Sunil Kaushik
%T Simulators for Wireless Sensor Networks: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 6
%P 39-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks (WSN) is made by an oversized variety of networked sensing nodes. It's rather advanced, or perhaps unworkable, to model analytically a WSN and it always results in simple analysis with restricted confidence. Besides, deploying test-beds supposes a large effort. Therefore, simulation is important to check WSN. However, it needs acceptable model supported solid assumptions and an appropriate framework to ease implementation. Additionally, simulation results admit the actual state of affairs below study (environment), hardware and physical layer assumptions, that aren't typically correct enough to capture the behavior of a WSN, thus, make vulnerable the quality of results. However, a careful model yields to measurability and performance problems, attributable to the massive variety of nodes, that betting on application, got to be simulated. Therefore, the exchange between measurability and accuracy becomes a serious issue once simulating WSN. During this survey an acceptable model for WSN simulation is introduced, at the side of tips for choosing an acceptable framework. Additionally, a comparative description of obtainable tools is provided

References
  1. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, J. Anderson, "Wireless Sensor Network for Habitat Monitoring. " In Proc. 1st ACM Int. Workshop on Wireless Sensor Networks and Applications, Atlanta, GE, pp. 88– 97, September 2002.
  2. D. Ganesan, D. Estrin, A. Woo, D. Culler, "Complex Behavior at Scale: An Experimental Study of Low-power Wireless Sensor Networks. " Technical Report UCLA/CSD-TR 02-0013, Center for Embedded Networked Sensing, University of California, Berkeley, February 2002.
  3. K. Pawlikowski, H. D. Joshua Jeong, J. S. Ruth Lee. "On Credibility of Simulation Studies of Telecommunication Networks. " IEEE Communications Magazine, vol. 40, no. 1, pp. 132–139, January 2002.
  4. D. Kotz, C. Newport, B. Gray, J. Liu, Y. Yuan, C. Elliot. "Experimental Evaluation of Wireless Simulation Assumptions. " In Proc. of the 7th ACM/IEEE Int. Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'04), Venice, Italy, pp. 78–82, October 2004.
  5. S. Park, A. Savvides, M. B. Srivastava. "SensorSim: A Simulation Framework for Sensor Networks. " In Proc. ACM Modeling, Analysis and Simulation of Wireles and Mobile Systems (MSWiM 2000), Boston, MA, pp. 104– 111, August 2000
  6. A. Sobeih, W. Chen, J. C. Hou, L. Kung, N. Li, H. Lim, H. Tyan, H. Zhang, "J-Sim: A simulation and emulation environment for wireless sensor networks. " In Proc. Annual Simulation Symposium (ANSS 2005), San Diego, CA, pp. 175–187, April 2005.
  7. C Perkins, EM Royer, S Das, Ad-Hoc On Demand Distance Vector Routing (AODV), IETF draft, 2000.
  8. Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications, ANSI/IEEE Std. 802. 11, 1999.
  9. T. S. Rappaport, Wireless Communications, principles and practice, Second Edition, Prentice Hall, 2002.
  10. The Network Simulator, NS–2 [Online]. Available: http://www. isi. edu/nsnam/ns/
  11. MIT Object Tcl. [Online]. Available:http://bmrc. berkeley. edu/research/cmt/ cmtdoc/otcl
  12. C. Intanagonwiwat, R. Govidan, D. Estrin, J. Heidemann, F. Silva, "Directed diffusion for wireless sensor networking. " IEEE/ACM Transactions on Networking, vol. 11, issue 1, pp. 2–16, February 2003.
  13. W. Ye, J. Heidemann, D. Estrin, "Medium Access Control with Coordinated, Adaptive Sleeping for Wireless Sensor Networks. " ACM/IEEE Transactions on Networking, vol. 12, pp. 493–506, 2004.
  14. NRL's Sensor Network Extension to NS-2 [Online]. Available: http://nrlsensorsim. pf. itd. nrl. navy. mil/
  15. SensorSim: A simulation framework for sensor networks. [Online]. Available: http://nesl. ee. ucla. edu/projects /sensorsim/
  16. V. Naoumov, T. Gross, "Simulation of Large Ad Hoc Networks. " In Proc. ACM Modeling, Analysis and Simulation of Wireles and Mobile Systems (MSWiM 2003), San Diego, CA, pp. 50–57, 2003.
  17. OMNET++ discrete event simulator. [Online]. Available: http://www. omnetpp. org
  18. Mobility Framework for OMNET++. [Online]. Available: http://mobility-fw. sourceforge. net
  19. Consensus: Collaborative Sensor Networks [Online]. Available: http://www. consensus. tudelft. nl
  20. J-Sim [Online]. Available: http://www. j-sim. org
  21. Jacl, Java implementation of Tcl8. x. [Online]. Available: http://www. tcl. tk/software/java
  22. NCTUns 2. 0 Network Simulator and Emulator. [Online]. Available: http://nsl. csie. nctu. edu. tw/nctuns. html
  23. R. Barr, Z. J. Haas, R. van Renesse, "JiST: Embedding Simulation Time into a Virtual Machine. " In Proc. 5th EUROSIM Congress on Modeling and Simulation, Paris, France, September 2004
  24. Jython. [Online]. Available: http://www. jython. org
  25. Global Mobile Information Systems Simulation Library (GloMoSim). [Online]. Available: http://pcl. cs. ucla . edu/projects/glomosim/
  26. PARSEC: Parallel Simulation Environment for Complex Systems. [Online]. Available: http://pcl. cs. ucla. edu/ projects/parsec/
  27. M. Takai, R. Bagrodia, K. Tang, M. Gerla, "Efficient Wireless Networks Simulations with Detailed Propagations Models. " Kluwer Wireless Networks, 7, pp. 297–305, 2001.
  28. sQualnet: A Scalable Simulation Framework for Sensor Networks. [Online]. Available: htpp://nesl. ee. ucla. edu/ projects/squalnet/
  29. Scalable Simulation Framework (SSF). [Online]. Available: http://www. ssfnet. org
  30. Dartmouth SSF (SSF). [Online]. Available: http://www. crhc. uiuc. edu/ jasonliu/projects/ssf/
  31. L. F. Perrone, D. M. Nicol, "A Scalable Simulator for TinyOS Applications. " In Proc. ACM 2002 Winter Simulation Conference, San Diego, CA, pp. 679–687, 2002.
  32. Ptolemy II. Heterogeneous model and design. [Online]. Available: http://ptolemy. eecs. berkeley. edu/ptolemyII
  33. P. Baldwin, S. Kohli, E. A. Lee, X. Liu, Y. Zhao. "Modeling of Sensor Nets in Ptolemy II. " In Proc. Information Processing in Sensor Networks (IPSN), Berkeley, pp. 359–368, April 2004
  34. MICA Motes. [Online]. Available: http://www. xbow. com
  35. TinyOS: Open-source operating system for wireless embedded sensor networks. [Online]. Available: http://www. tinyos. net
  36. P. Levis, N. Lee, M. Welsg, D. Culler, "TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications. " In Proc. 1st ACM Int. Conf. Embedded Networked Sensor Systems (SenSys), Los Angeles, CA, pp. 126–137, 2003.
  37. L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan, D. Estrin, "EmStar: A software Environment for Developing and Deploying Wireless Sensor Networks. " In Proc. USENIX 2004, Boston, MA, pp. 283–296, 2004.
  38. L. Girod, T. Stathopoulos, N. Ramanathan, J. Elson, D. Estrin, E. Osterweil, T. Schoellhammer, "A System for Simulation, Emulation and Deployment of Heterogeneous Sensor Networks. " In Proc. 2nd ACM Int. Conf. Embedded Networked Sensor Systems (SenSys), Baltimore, MD, pp. 201–213, 2004.
  39. J. Polley, D. Blazakis, J. McGee, D. Rusk, J. S. Baras, M. Karir, "ATEMU: A Fine-grained Sensor Network Simulator. " In Proc. 1st IEEE Int. Conf. Sensor and Adhoc Communication Networks (SECON'04), Santa Clara, CA, October 2004.
  40. S. Sundresh, W. Kim, G. Agha, "SENS: A Sensor, Environment and Network Simulator. " In Proc. 37th ACM Annual Symposium on Simulation, Washington, DC, pp. 221, 2004.
  41. PROWLER: Probabilistic Wireless Network Simulator. [Online]. Available: http://www. isis. vanderbilt. edu/projects/nest/prowler
  42. C. Kelly, V. Ekanayake, R. Manohar, "SNAP: A Sensor- Network Asynchronous Processor. " In Proc. 9th ACM Int. Symposium on Asynchronous Circuits and Systems,Washington, DC, pp. 24, 2003.
Index Terms

Computer Science
Information Sciences

Keywords

wireless sensor networks simulators ns2 omnet j-sim

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