Development and Simulation Two Wireless Hosts Communication Network Using Omnnet++




wireless network, wireless hosts, modelling of protocols, simulation Omnet++


A wireless network is a collection of computers and other electronic devices that exchange information by means of radio waves. Endpoint computing devices can all be connected without the need for hardwired data cabling thanks to the prevalence of wireless networks in today's businesses and networks. This paper's aim is to create and construct a wireless network model for connecting two hosts which will be implemented to simulate wireless communications. The sending of User Datagram Protocol (UPD) data by one of the hosts to the other one has been wirelessly specified by the simulator. Additionally, the protocol models were kept as simple as possible including both the physical layer and the lower layer. The architecture and functionality of a new simulator is showed its ability to solve the issues of making a host move, especially, when it gets out of the range the simulation ends.


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Obaidat, M.S., Green, D.B. (2003). Simulation of Wireless Networks. In: Obaidat, M.S., Papadimitriou, G.I. (eds) Applied System Simulation. Springer, Boston, MA. DOI:

J. -g. Jia, Z. -w. He, J. -m. Kuang and L. Xie, "A Method of Modeling and Simulation for Wireless Network Based on HLA," 2009 First International Conference on Information Science and Engineering, 2009, pp. 2448-2451, doi: 10.1109/ICISE.2009.62. DOI:

David Eckhardt and Peter Steenkiste. 1996. Measurement and analysis of the error characteristics of an in-building wireless network. In Conference proceedings on Applications, technologies, architectures, and protocols for computer communications (SIGCOMM '96). Association for Computing Machinery, New York, NY, USA, 243–254. DOI:

Brilakis, Ioannis. (2007). Long-distance wireless networking for site - Office data communications. Electronic Journal of Information Technology in Construction. 12.

Qi, Xiaoshuang. (2022). The Influence of Wireless Network Communication and Edge Computing on the Performance of Aerobics Athletes. Wireless Communications and Mobile Computing. 2022. 10.1155/2022/1604478. DOI:

Esteban Egea-Lopez, Alejandro Martinez-Sala, Javier Vales-Alonso, Joan Garcia-Haro, Josemaria Malgosa-Sanahuja, Wireless communications deployment in industry: a review of issues, options and technologies, Computers in Industry, Volume 56, Issue 1, 2005, Pages 29-53, DOI:

Ojaroudi Parchin, N., et al., "Dual-polarized MIMO antenna array design using miniaturized self-complementary structures for 5G smartphone applications," 13th European Conference on Antennas and Propagation (EuCAP), Krakow, Poland, Mar. 31–Apr. 5, 2019.

B. I. Bakare and J. D. Enoch, et al., “A review of simulation techniques for some wireless communication system,” International Journal of Electronics, Communications and Computer Engineering, vol. 10, pp. 60–70, 2019

M. Z. Chowdhury.,et al., “6G wireless communication systems: applications, requirements, technologies, challenges, and research directions,” IEEE Open Journal of the Communications Society, vol. 1, pp. 957–975, 2020. DOI:

K. S. Rekha, T. H. Sreenivas, and A. D. Kulkarni, “Remote monitoring and reconfiguration of environment and structural health using wireless sensor networks,” Materials Today Proceedings, vol. 5, no. 1, pp. 1169–1175, 2018. DOI:

D. Alulema, M. Zapata, and M. A. Zapata, “An IoT-based remote monitoring system for electrical power consumption via web-application,” in Proceedings of the 2018 International Conference on Information Systems and Computer Science (INCISCOS), Quito, Ecuador, November 2018. DOI:

A. I. Paganelli, P. E. Velmovitsky, P. Miranda et al., “A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home,” Internet of Things (Netherlands), vol. 18, Article ID 100399, 2022. DOI:

Ghosh, H., Tusher, M.A., Rahat, I.S., Khasim, S., Mohanty, S.N. (2023). Water Quality Assessment Through Predictive Machine Learning. In: Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. DOI:

Alenezi, F.; Armghan, A.; Mohanty, S.N.; Jhaveri, R.H.; Tiwari, P. Block-Greedy and CNN Based Underwater Image Dehazing for Novel Depth Estimation and Optimal Ambient Light. Water 2021, 13, 3470. DOI:




How to Cite

M. Derbali, “Development and Simulation Two Wireless Hosts Communication Network Using Omnnet++”, EAI Endorsed Trans IoT, vol. 10, Jan. 2024.