People Movement on The Throughput of Wi-Fi Networks and the Significant Changes that Affect WLAN Performance by using Random Waypoint Mobility Model (RWMM) & Random Direction Mobility Model (RDMM) to Model the JNT University Hyderabad India
Seyed Amin Ahmadi Olounabadi1, Avula. Damodaram2, V. Kamakshi Prasad3
1Seyed Amin Ahmadi Olounabadi, Ph.D. Scholar Student, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad JNTUH, Hyderabad (Telangana) India.
2Avula.Damodaram, Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad JNTUH, Hyderabad (Telangana) India.
3V.Kamakshi Prasad, Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad JNTUH, Hyderabad (Telangana) India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 23-35 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2561018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The use of network technologies and facilities has always been explored by users, researchers and experts .One of the issues that the network has to deal with, how to send and receive, and network communications. In this research, we are looking at how people are moving on the throughput of Wi-Fi networks and the significant changes that affect WLAN performance. We examined the background of the research and related protocols, we were trying to model the Jawaharlal Nehru Technological University Hyderabad in India. In conducting research, we concluded that the behavior and scenario of moving network nodes can be simulated into two models and scenarios: 1. Random Waypoint Mobility Model (RWMM), 2. Random Direction Mobility Model (RDMM), In our study, we examined the operation of these two models with two methods without any grouping and with grouping and clustering and we proved that the use of clustering or grouping algorithms in the model of Jawaharlal Nehru Technological University Hyderabad, India, Optimizes network utilization and can provide better quality and better bandwidth. One of the reasons for this quality is the lower number of packets dropped. In this research work we used MobiSim v3 – A Framework to Manage Mobility Models, software.
Keyword: People Movement, Wi-Fi Networks, Random Waypoint Mobility Model (RWMM), Random Direction Mobility Model (RDMM), JNTUH.
Scope of the Article: Mobile Applications and Services for IoT