Design and Performance Analysis of Wireless Campus Network Using Delay Parameter

Authors

  • Ibrahim Alhaji Lawan Department of Information Technology Bayero University Kano
  • Abubakar A. Mu'azu Department of Computer Science Ummaru Musa ‘Yaraduwa Univrsity Katsina Nigeria

DOI:

https://doi.org/10.56471/slujst.v2i1.70

Keywords:

WLAN, QoS, Delay, Wireless Workstations and OPNET IT GURU

Abstract

Abstract- Wireless Campus Network is a network that covers an educational or corporate campus. It is a network of multiple interconnected local area networks in a limited geographical area. Wireless local area networks use infrared or radio waves to provide network for wireless devices and allow users to transmit data between each other in the coverage area without the limitation of wire and cable.  Quality of Service (QoS) is considered as one of the main issue in Wireless Network due to the bottleneck and the competition among different kinds of traffic flow on the network. In this paper a wireless Campus Network design was developed to compare the QoS performance improvement of Wireless Campus Network using delay parameter. Two models (Short-Term and Long-Term) were designed and simulated using Optimized Network Engineering Tool, OPNET IT GURU Academic Edition with linked between wireless workstations suitable for implementation to determine network delay performance. The two models contain the same number of wireless workstations but with some additional access points and multiples processors in the long-term model a point-to-point protocol (PPP) were employed to connect the access points with the routers and the cloud while 100BaseT cable was used to connect the servers and the firewalls. The wireless network delay were obtained in each case. The results obtained from this models showed that the Long-Term Model experiences much lower wireless network delay compared to the short-Term Model. This could be attributed to the fact that even though the total number of wireless workstations are the same in both model but the topology of the long-term model contains additional Access Points and double processors which resulted to the observed minimum delay.

References

Cicconetti, C., Lenzini, L., Mingozi, V and Eklund C. (2016) “Quality of Service Support in 802.16 Network” IEEE Networks, 8 (20), 50-55.

Czhusbaeik, A. (2005), “Wireless LAN Concepts”, Breeze Wireless Communications Ltd., Atidim Technological Park, Tel Aviv, ISRAEL, 25-28

Foukalas, F. Gazis, V. and Alonistioti, N. (2018) “Cross-Layer Design Proposals for Wireless Mobile Networks International Journal of Security and Networks,” 37(4), 220-230.

Frank, I., Orunta J. and Dike, I. (2009) “Broadband Wireless Access Deployment Approach to Rural Communities.” J. Comput. Networks, 2013, Vol. 1 (3), 38-45.

Dahmouni, H. Ghazi, Bonacci D., Sansò, B. and Girard, A. (2010) “Improving QoS of all-IP Generation of Pre-WiMAX Networks Using Delay-Jitter Model.” J. Telecommun. 2(2), 99–103.

Hussein, A., Ali, A., Abbas, N. and. Hamad, M. (2013) “Open Access Performance Evaluation of IEEE802.11g WLANs Using OPNET Modeler.” Am. J. Eng. Res. 11(12), 9–15.

Leith, D., Clifford, P. and Malone, P. (2015) “TCP Fairness in 802.11e WLANs,” IEEE Communications Letters, Hamilton, Ireland, 38(6), 86–94.

Mittal, S. (2012) OPNET: An Integrated Design Paradigm for Simulations, Software engineering: an international Journal (SEIJ), 2(2), 57-67.

OPNET Technologies (2004), IT Guru Quick Start (Power Point Presentation, OPNET Training Manual, OPNET Technologies, Inc

Singh, K. and Sharma. R. (2012) “Services as Parameter to Provide Best QoS : Analysis over WiM AX,” Int. J. Next-Generation Networks 4(1), 29–37.

Wang, P. and Zhuang W. (2019) “A Token-Based Scheduling Scheme for WLANs Supporting Voice/Data Traffic and its Performance Analysis,” IEEE Transactions on Wireless Communications, Waterloo, Ontario, Canada, 7(4), 1-11.

Wang, P. Jiang, H. and Zhuang, W (2007)“Capacity improvement and analysis for voice/data traffic over WLANs,” IEEE Transactions. Wireless Communications, Waterloo, Ontario, Canada, Vol. 6(4), 1530-1541.

Yasukawa, K., Forte, A. and Schulzrinne, H. (2019) “Distributed Delay Estimation and Call Admission Control in IEEE 802.11 WLANs,”Proceding of the 2009 IEEE International Conference on Communications, IEEE ICC 2009, Ericsson Research Japan, (18), 5057- 5062.

Zhang, Z. and Yu, L. (2013) “Improved Fair Scheduling Mechanism in Distributed WiMAX Mesh Networks,”

th Int. Conf. Wirel. Commun. Netw. Mob. Comput. WiCOM 2013, 2(10), 2–8.

Zubair J. A and Mike Z. (2010), SUNY Fredonia Campus Network Simulation And Performance Analysis Using OPNET, OPNETWORK 2010, Washington DC.

Published

2021-01-23