Survey of Various Simulator Tools for Wireless Sensor Network

Jaya Mishra *, Jaspal Bagga **, Amith***, Mohammad****
*-**** Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Junwani, Bhilai, Chhattisgarh, India.
Periodicity:June - August'2020
DOI : https://doi.org/10.26634/jcom.8.2.17743

Abstract

Wireless Sensor Network (WSN) is a developing area of research. In this development of sensor network applications, monitoring data volume, monitoring the well-being of the wireless sensor node, data manipulation and representation demonstrates a range of challenges and has become a critical component of sensor networks. Wireless Sensor Networks (WSNs), which comprise of spatially distributed self-configurable sensors, impeccably meet the prerequisite. Since running real experiments is expensive and tedious, recreation is basic to contemplate WSNs, being the normal method to test new applications and conventions in the field, it requires a reasonable model dependent on strong assumptions and a suitable framework to ease usage. Moreover, recreation results depend on the specific situation under investigation (environment), equipment and physical layer, which are not typically exact enough to catch the real behavior of a WSN, accordingly, risking the validity of results. In any case, because of the enormous number of hubs that need to be replicated depending on the application, identified models must be evaluated for scalability and execution problems. The goal of this study is to present a definite review of various simulator tools for WSNs which will help further research in the field.

Keywords

WSN, Simulation Tools, NS-2, TOSSIM, EmStar, OMNeT++, Java Based Simulator (J-Sim), Sensor Network Simulator (ATEMU), AVR Simaulato (Avrora).

How to Cite this Article?

Mishra, J., Bagga, J., Choubey, S., and Choubey, A. (2020). Survey of Various Simulator Tools for Wireless Sensor Network. i-manager's Journal on Computer Science, 8(2), 16-23. https://doi.org/10.26634/jcom.8.2.17743

References

[1]. Aberer, K., Hauswirth, M., & Salehi, A. (2007, May). Infrastructure for data processing in large-scale interconnected sensor networks. In 2007, International Conference on Mobile Data Management (pp. 198-205). IEEE. https://doi.org/10.1109/MDM.2007.36
[2]. Aireen, G., Mohan, C. E., Pooja, C. H., Pooja, F. T., & Raghuram, K. M. (2017, October). Wireless network nd simulation and analysis using qualnet. In 2017, 2 International Conference on Communication and Electronics Systems (ICCES) (pp. 251-255). IEEE. https://doi. org/10.1109/CESYS.2017.8321276
[3]. Andreou, P., Zeinalipour-Yazti, D., Pamboris, A., Chrysanthis, P. K., & Samaras, G. (2011). Optimized query routing trees for wireless sensor networks. Information Systems, 36(2), 267-291. https://doi.org/10.1016/j.is.2010.06.001
[4]. Buschmann, C., Pfisterer, D., Fischer, S., Fekete, S. P., & Kröller, A. (2005). Spyglass: A wireless sensor network visualizer. ACM Sigbed Review, 2(1), 1-6. https://doi.org/10. 1145/1121782.1121784
[5]. Castillo, J. A., Ortiz, A. M., López, V., Olivates, T., & Orozco-Barbosa, L. (2008, October). Wise Observer: A real experience with wireless sensor networks. In Proceedings of the 3rd ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks (pp. 23-26). https://doi.org/10.1145/1454630.14 54634
[6]. Chatzigiannakis, I., Mylonas, G., & Nikoletseas, S. (2005, June). jWebDust: A java-based generic application environment for wireless sensor networks. In International Conference on Distributed Computing in Sensor Systems (pp. 376-386). Springer, Berlin, Heidelberg. https://doi.org/ 10.1007/11502593_29
[7]. Chen, M., Miao, Y., & Humar, I. (2019). Introduction to OPNET network simulation. In OPNET IoT Simulation (pp. 77- 153). Springer, Singapore. https://doi.org/10.1007/978-981- 32-9170-6_2
[8]. Davcev, D., Kulakov, A., & Gancev, S. (2008, August). Experiments in data management for wireless sensor networks. In 2008, 2nd International Conference on Sensor Technologies and Applications (sensorcomm 2008) (pp. 191-195). IEEE. https://doi.org/10.1109/SENSORCOMM.20 08.18
[9]. Fan, F., & Biagioni, E. S. (2004, January). An approach to data visualization and interpretation for sensor networks. In 37 th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the (pp. 9-pp). IEEE. https:// doi.org/10.1109/HICSS.2004.1265198
[10]. Girod, L., Elson, J., Cerpa, A., Stathopoulos, T., Ramanathan, N., & Estrin, D. (2004). EmStar: A software environment for developing and deploying wireless sensor networks. In Proceedings of the 2004 USENIX Annual Technical Conference, June 27-July 2, 2004, Boston, MA, USA (pp.283-296). Retrieved https://www.usenix.org/legacy/ event/usenix04/tech/general/full_papers/girod/girod_html/
[11]. Jurdak, R., Ruzzelli, A. G., Barbirato, A., & Boivineau, S. (2011). Octopus: Monitoring, visualization, and control of sensor networks. Wireless Communications and Mobile Computing, 11(8), 1073-1091. https://doi.org/10.1002/ wcm.826
[12]. Levis, P., Lee, N., Welsh, M., & Culler, D. (2003, November). TOSSIM: Accurate and scalable simulation of st entire TinyOS applications. In Proceedings of the 1 International Conference on Embedded Networked Sensor Systems (pp. 126-137). https://doi.org/10.1145/9584 91.958506
[13]. Luo, L., Kansal, A., Nath, S., & Zhao, F. (2008, December). SenseWeb: Sharing and browsing environmental changes in real time. In Proceedings of the Microsoft eScience Workshop.
[14]. Mármol, F. G., & Pérez, G. M. (2009, June). TRMSim- WSN, trust and reputation models simulator for wireless sensor networks. In 2009, IEEE International Conference on Communications (pp. 1-5). IEEE. https://doi.org/10.1109/ ICC.2009.5199545
[15]. Miyashita, M., Nesterenko, M., Shah, R., & Vora, A. (2005, June). Visualizing wireless sensor networks: Experience report. In Proceedings of International Conference on Wireless Networks (ICWN-05), 412-419.
[16]. NS-3 (n.d.). NS-2 and NS-3. Retrieved from https:// www.nsnam.org/support/faq/ns2-ns3/
[17]. Ould-Ahmed-Vall, E., Riley, G. F., Heck, B. S., & Reddy, D. (2005, September). Simulation of large-scale sensor networks using GTSNets. In 13 th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (pp. 211- 218). IEEE. https://doi.org/10.1109/MASCOTS.2005.65
[18]. Park, S., Savvides, A., & Srivastava, M. B. (2000, August). SensorSim: A simulation framework for sensor networks. In Proceedings of the 3 rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems (pp. 104-111). https://doi.org/10.1145/ 346855.346870
[19]. Pinto, J., Sousa, A., Lebres, P., Gonçalves, G. M., & Sousa, J. (2006). MonSense-application for deployment, monitoring and control of wireless sensor networks. In ACM Real Wireless Sensor Network Conference.
[20]. Rowe, A., Berges, M. E., Bhatia, G., Goldman, E., Rajkumar, R., Garrett, J. H., ..., & Soibelman, L. (2011). Sensor Andrew: Large-scale campus-wide sensing and actuation. IBM Journal of Research and Development, 55(1.2), 6-1. https://doi.org/10.1147/JRD.2010.2089662
[21]. Santanche, A., Nath, S., Liu, J., Priyantha, B., & Zhao, F. (2006, April). Senseweb: Browsing the physical world in real time. In Proceedings of the ACM/IEEE Information Processing in Sensor Networks (IPSN).
[22]. Shu, L., Wu, C., Zhang, Y., Chen, J., Wang, L., & Hauswirth, M. (2008). NetTopo: Beyond simulator and visualizer for wireless sensor networks. ACM SIGBED Review, 5(3), 1-8. https://doi.org/10.1145/1534490.1534492
[23]. Sobeih, A., Hou, J. C., Kung, L. C., Li, N., Zhang, H., Chen, W. P., ..., & Lim, H. (2006). J-Sim: a simulation and emulation environment for wireless sensor networks. IEEE Wireless Communications, 13(4), 104-119. https://doi.org/ 10.1109/MWC.2006.1678171
[24]. Sundresh, S., Kim, W., & Agha, G. (2004, April). SENS: A sensor, environment and network simulator. In 37 Annual Simulation Symposium, 2004, Proceedings. (pp. 221-228). IEEE. https://doi.org/10.1109/SIMSYM.2004.1299486
[25]. TinyOS, (n.d). TinyOS: An open-source OS for the networked sensor regime. Retrieved from https://www.tiny os.net
[26]. Turon, M. (2005, May). Mote-view: A sensor network monitoring and management tool. In Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II. (pp. 11-17). IEEE. https://doi.org/10.1109/EMNE TS.2005.1469094
[27]. Wagenknecht, G., Anwander, M., Braun, T., Staub, T., Matheka, J., & Morgenthaler, S. (2008, May). MARWIS: A management architecture for heterogeneous wireless sensor networks. In International Conference on Wired/Wireless Internet Communications (pp. 177- 188).Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68807-5_15
[28]. UWA (n.d). The CNET network simulator (v3.4.1). The The University of Western Australia. Retrieved from https:// www.csse.uwa.edu.au/cnet/
[29]. Yang, Y., Xia, P., Huang, L., Zhou, Q., Xu, Y., & Li, X. (2006, May). SNAMP: A multi-sniffer and multi-view visualization platform for wireless sensor networks. In 2006, 1 st IEEE Conference on Industrial Electronics and Applications (pp. 1-4). IEEE. https://doi.org/10.1109/ICIEA. 2006.257222
[30]. Zeng, X., Bagrodia, R., & Gerla, M. (1998, May). GloMoSim: A library for parallel simulation of large-scale wireless networks. In Proceedings 12 th Workshop on Parallel and Distributed Simulation PADS'98 (Cat. No. 98TB100233) (pp. 154-161). IEEE. https://doi.org/10.1109/PADS.1998.685 281
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.