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Parameter Analysis of Wireless Sensor Networks on Various Non Realistic Mobility Models

V. K. Patle*, Sanjay Kumar**

* Assistant Professor, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

** Professor and Head, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur (Chhattisgarh), India.

Periodicity:November - January'2018
DOI : https://doi.org/10.26634/jcs.7.1.13957

Abstract

In present days, Wireless Sensor Networks (WSN) play an important role in wireless communication. Wireless Sensor Networks are self-configurable, self-healing networks consisting of a larger number of small size sensor nodes. Senor Node is composed by processor, memory, battery, sensor devices and transceiver. WSN focuses mainly on sensing environment data and transferring it to the computational centre via the sink. Mobility Models play an important role in the performance of WSN. In this paper, various performance parameters of WSN on different mobility models are analyzed with the help of NS- 3.22 simulation tool. Network performance depends on the nodes' population and displacement.

Keywords

WSN, Mobility Models, Performance Metrics, Simulation Tools

How to Cite this Article?

Patle, V. K., Kumar, S. (2018). Parameter Analysis of Wireless Sensor Networks on Various Non Realistic Mobility Models. i-manager’s Journal on Communication Engineering and Systems, 7(1), 6-11. https://doi.org/10.26634/jcs.7.1.13957

References

[1]. Alaybeyoglu, A., Dagdeviren, O., Erciyes, K., & Kantarci, A. (2009). Performance evaluation of clusterbased target tracking protocols for wireless sensor networks. In Computer and Information Sciences, 2009. ISCIS 2009. th 24 International Symposium on (pp. 357-362). IEEE.

[2]. Ali, Q. I. (2012). Simulation framework of wireless sensor network (WSN) using matlab/simulink software. In MATLAB-A Fundamental Tool for Scientific Computing and Engineering Applications-Volume 2. intech.

[3]. Aslam, M. Z. & Rashid, A. (2011). Comparison of Random Waypoint & Random Walk Mobility Model under DSR, AODV & DSDV MANET Routing Protocols. International Journal of Advanced Research in Computer Science (IJARCS), 2(1), 381- 386.

[4]. Dharani, A., Nayak, S., & Manjuprasad, B. (2014). Hardware and Simulation Perspective Study on Wireless Sensor Networks. International Journal of Advance Foundation and Research in Computer (IJAFRC), 1(7), 2348-4853.

[5]. Israni, M., Patle, V. K., & Kumar, S. (2015). A Survey on Performance Evaluation of Non-Realistic Mobility Models with Different Routing Protocols on MANET. International Journal of Computer Applications, 127(3), 38-44.

[6]. Jain, M., Patle, V. K., & Kumar, S. (2015). Performance of Mobility models with different Routing Protocols by using Simulation Tools for WSN: A Review. International Journal of Advanced Research in Computer and Communication Engineering, 4(1), 57-61.

[7]. Katkar, P. S. & Ghorpade, D. V. R. (2016). Comparative study of network simulator: NS2 and NS3. International Journal of Advanced Research in Computer Science and Software Engineering, 6(3), 608-612.

[8]. Khan, M. F., Felemban, E. A., Qaisar, S., & Ali, S. (2013). Performance analysis on packet delivery ratio and end-toend delay of different network topologies in Wireless Sensor Networks (WSNs). In Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on (pp. 324-329). IEEE.

[9]. Kumar, G. S., Paul, V., & Poulose Jacob, K. (2007). Impact of node mobility on routing protocols for wireless sensor networks, In International Conference on Sensors and Related Networks, 480-485.

[10]. Manjula, S. H., Abhilash, C. N., Shaila, K., Venugopal, K. R., & Patnaik, L. M. (2008). Performance of aodv routing protocol using group and entity mobility models in wireless sensor networks. In Proceedings of the International Multi Conference of Engineers and Computer Scientists (Vol. 2, pp. 1212-1217).

[11]. Patel, R., Porwal, V., & Kapoor, R. K. (2014). A review of Mobility-Based Wireless Sensor Networks. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 3(8), 2811-2815.

[12]. Stevanovic, D. & Vlajic, N. (2008). Performance of IEEE 802.15. 4 in wireless sensor networks with a mobile sink implementing various mobility strategies. In Local rd Computer Networks, 2008. LCN 2008. 33 IEEE Conference on (pp. 680-688). IEEE.

[13]. Vasanthi, V., Romenkumar, M., Ajithsingh, N., & Hemalatha, M. (2011). A detailed study of mobility models in wireless sensor networks. Journal of Theoretical and Applied Information Technology, 33(1), 7-14.

[14]. Wang, P. & Akyildiz, I. F. (2010). Effects of different mobility models on traffic patterns in wireless sensor networks. In Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE (pp. 1-5). IEEE.

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