Wireless Campus Network Research Articles

تحليل وتصميم شبكة محلية لاسلكية آمنة للحرم الجامعي في الجامعات الليبية

This research presents the wireless university campus network and discusses about the strengths and weaknesses of Design a secure wireless campus networks for ABC University in Libya, and about the costs and advantages of different vendor solutions. Wireless offers mobility and is available in locations where a wired outlet doesn't exist. The disadvantages of wireless include some minor interference problems and a quickly evolving and competitive group of standards. The purpose of the research is designing and implementing a secure campus network for Libyan university based on Cisco equipments. Moreover, the research can provide practical experience in network design, configuration, and security for helping organizations and institutions protect their network resources and data. Two end products or deliverables will result from the research: the first is a new architectural design for an efficient and advanced WLAN-friendly network to ensure the high performance of the data transaction process and ensure high availability of data transmissions. The second product is a report for network administrators or network architecture to guide users towards the achievement of WLAN-friendly by utilising advanced networking tools and technologies. Keywords: - Campus network; Wireless Mesh Network; wireless network; Encryption; Cisco equipment; security.

MA-STS-Based Social Intimacy Analysis Algorithm Using Real Campus Network Data

In recent years, the widespread availability of Wi-Fi in various settings, including universities, enterprises, and large shopping centers, has become increasingly prevalent. The user’s time and location information embedded in wireless network systems can reveal individual and group social relationships, which indirectly reflect each person’s psychological well-being. However, due to challenges in obtaining complete data, the high complexity of related data, and the absence of suitable data analysis models, few studies have analyzed student social behavior using data from university campus networks. This paper employs real-world data from a renowned Chinese university’s wireless campus network for in-depth analysis and introduces a novel multiangle semantic trajectory similarity (MA-STS) algorithm to infer the intimacy and relationship types (such as teacher-student, friends, classmates, or romantic partners) between users. The experiments demonstrate that the proposed algorithm achieves an accuracy of over 95%.

QoS Enhancement of Wireless Campus Network Using Throughput Parameter

In recent years, broadband wireless systems developed themselves as one of the fastest growing and emerging sector in the field of telecommunications. It is a network of multiple interconnected local area networks in a limited geographical area. Quality of Service (QoS) is considered as one of the key issue in Wireless Campus Network due to the bottleneck and the competition among different kinds of traffic flow on the network. In this paper a Short-Term and Long-Term models are developed to enhancements QoS performance for Wireless Campus Network using throughput parameter. The models were designed and simulated using Optimized Network Engineering Tool, OPNET IT GURU Academic Edition with linkages between wireless workstations suitable for implementation to determine the performance of the network throughput. The two versions contain the same number of wireless workstations, but with some additional access points and multiple processors in the long-term model, a point-to - point protocol (PPP) was used to link the access points to the routers and the cloud while using 100BaseT cable to connect. In each case, the wireless network throughput was obtained. The findings obtained from these models showed that, relative to the short-term model, the Long-Term model achieves higher wireless network performance. That may be due to the fact that while in both models the total number of wireless workstations is the same, the long-term model topology includes additional access points and double processors resulting in the observed minimum throughput.

Autonomous Mobile Learning Model of Cloud Education Based on Intelligent Algorithm of Wireless Network Communication

The rapid development of a new generation of information technology and its widespread application in colleges and universities have promoted profound changes in campus informatization. On the one hand, wireless campus networks as the main infrastructure of digital campuses are gradually popularized in domestic colleges and universities, expanding the campus information network coverage. This article is aimed at studying the addition of intelligent algorithms to wireless network communications to optimize and build autonomous mobile learning for cloud education. In order for children to communicate with teachers face to face, no matter where they are, this article proposes how to reduce the energy loss in wireless communication and find the best intelligent algorithm to realize the cloud education mobile learning platform. Experimental results show that the transmission delay of the wireless communication system of this method is significantly shorter than that of the other two methods, close to 5%, which speeds up the data transmission speed of the wireless communication system. It can be implemented under time‐sensitive conditions and has high practical application value. The wireless network communication system of this method has a low packet loss rate and less wireless network data transmission errors, which is nearly 10% lower than the other two methods, thereby improving the data transmission power of the wireless communication network.

An enhanced dynamic transmission opportunity scheme to support varying traffic load over wireless campus networks.

Transmission opportunity (TXOP) is a key factor to enable efficient channel bandwidth utilization over wireless campus networks (WCN) for interactive multimedia (IMM) applications. It facilitates in resource allocation for the similar categories of multiple packets transmission until the allocated time is expired. The static TXOP limits are defined for various categories of IMM traffics in the IEEE802.11e standard. Due to the variation of traffic load in WCN, the static TXOP limits are not sufficient enough to guarantee the quality of service (QoS) for IMM traffic flows. In order to address this issue, several existing works allocate the TXOP limits dynamically to ensure QoS for IMM traffics based on the current associated queue size and pre-setting threshold values. However, existing works do not take into account all the medium access control (MAC) overheads while estimating the current queue size which in turn is required for dynamic TXOP limits allocation. Hence, not considering MAC overhead appropriately results in inaccurate queue size estimation, thereby leading to inappropriate allocation of dynamic TXOP limits. In this article, an enhanced dynamic TXOP (EDTXOP) scheme is proposed that takes into account all the MAC overheads while estimating current queue size, thereby allocating appropriate dynamic TXOP limits within the pre-setting threshold values. In addition, the article presents an analytical estimation of the EDTXOP scheme to compute the dynamic TXOP limits for the current high priority traffic queues. Simulation results were carried out by varying traffic load in terms of packet size and packet arrival rate. The results show that the proposed EDTXOP scheme achieves the overall performance gains in the range of 4.41%—8.16%, 8.72%—11.15%, 14.43%—32% and 26.21%—50.85% for throughput, PDR, average ETE delay and average jitter, respectively when compared to the existing work. Hence, offering a better TXOP limit allocation solution than the rest.

A Coverage Prediction Technique for Indoor Wireless Campus Network

The placement of an Access Point (AP) is an important key to determine the spread of the signal. To get the optimal spread of signals, a network designer is required to understand how much coverage an AP can generate. A prediction is given to describe the coverage area produced based on AP placement for the wireless campus network, using a coordinate map modeling based on the real size for the indoor environment. The theoretical approach is used to determine the coverage area of an AP device by testing the function of the distance between the AP and the user. The results show that the signal generated by an AP will cover the entire area that is still on the LOS propagation path. The coverage area generated through AP placement in this case study reached 77.5%. The maximum distance between the AP and the user so that it is within the coverage area is 13.851m. There are still areas that are not covered by the AP, especially for the NLOS propagation path because of the obstruction around the AP.

Construction of Ecological Teaching Model for College English Course under the Background of Internet plus

College English course is one of the highly practical and compulsory courses. However, the traditional teaching model of current college English is seriously lagging behind modern teaching technology, and the teaching effect is not good. In response to this problem, this paper proposes the use of advanced multimedia technology and network technology in the context of “Internet plus” to construct an ecological teaching model for college English courses. This teaching model, by making full use of intelligent terminals and wireless campus networks, establishes Internet classrooms, network self-learning centres and language labs. The research results show that the ecological teaching mode realizes the transformation of the traditional teaching classroom to the multimedia and network teaching platform, enhances the modern English teaching system, and thus improves the English teaching effect.

The study of access point outdoor coverage deployment for wireless digital campus network

Wireless local area network design needs more development to obtain appropriate and effective results. Site surveys in the design process give realistic results, but require time and effort. Developing ways of predicting signal strength using empirical models can give appropriate results in access point placement to get good signal coverage. Geospatial analysis, such as inverse distance weighting, Kriging and global polynomial interpolation, has been compared. This study showed that Kriging analysis is an appropriate method to predict value the coverage area. Furthermore, predictive signal strength models such as classical, empirical and COST 231 Hatta models have been studied. The empirical model was shown to do the best predictive calculations. The empirical model used to predict signal strength combined with Kriging geographical statistical analysis gave usable signal coverage prediction for access point placement. This model will support GIS spatial analysis tools to perform effective planning in access point placement.

Enhancements of the Dynamic TXOP Limit in EDCA Through a High-Speed Wireless Campus Network

IEEE802.11e is a concrete challenge to providing quality of service (QoS) aimed at interactive multimedia (IMM) applications due to the resource allocation parameter for heterogeneous traffic flows. This parameter is fixed for different specific IMM traffic flows in the IEEE802.11e standard. However, due to the variation in traffic load on wireless campus networks (WCNs), the fixed allocation of the channel resource parameter is not sufficient to guarantee QoS for IMM traffic flows. Thus, many researchers have investigated dynamic regulation of this resource allocation parameter to ensure QoS. However, there are still some unresolved problems with this parameter. This paper introduces an enhanced EDCA resource allocation parameter named dynamic transmission opportunity (TXOP) limit that regulates according to the variation in traffic load over WCN. This work also employs a mathematical modelling approach for the proposed parameter and numerical analysis of the existing and proposed parameters. The evaluation of the proposed model is simulated using Qualnet 5.1. The simulation results show that the proposed scheme allows improving the QoS performance of IMM traffic by reducing end-to-end delay. Additionally, the results show that the proposed scheme significantly improves global throughput.

Performance Analysis of MAC Layer Scheduling Schemes for IMM Applications over High Speed Wireless Campus Network in IEEE802.11e

Performance Analysis of MAC Layer Scheduling Schemes for IMM Applications over High Speed Wireless Campus Network in IEEE802.11e

Design of Smart Wireless Campus Network Based on Zigbee

As a new short-range, low-speed and low-power wireless network technology, ZigBee smart design is ideal for campus wireless sensor networks. Therefore, in order to study how to use zigBee achieve smart campus applications has a very important practical value, on the basis of technology and research Zigbee wireless smart construction on campus and abroad, combined with our practical needs of wireless smart campus, put forward a set of Zigbee-based wireless smart campus solution.

Vocational Colleges Wireless Network Design

With the development of WLAN,construction of wireless campus network based on WLAN technology,as an extension of wired campus network, become an important direction of development of the vocational college campus network. This paper proposed vocational college wireless campus network using "AC + Fit AP" wireless network design, from the selection of equipment, covering design, safety management, scalability and other aspects of the planning and design of the wireless campus network, it is hoped to be useful to the construction of wireless campus network vocational college.

Performance Analysis of IIUM Wireless Campus Network

International Islamic University Malaysia (IIUM) is one of the leading universities in the world in terms of quality of education that has been achieved due to providing numerous facilities including wireless services to every enrolled student. The quality of this wireless service is controlled and monitored by Information Technology Division (ITD), an ISO standardized organization under the university. This paper aims to investigate the constraints of wireless campus network of IIUM. It evaluates the performance of the IIUM wireless campus network in terms of delay, throughput and jitter. QualNet 5.2 simulator tool has employed to measure these performances of IIUM wireless campus network. The observation from the simulation result could be one of the influencing factors in improving wireless services for ITD and further improvement.

Optimizing Voip Using A Cross Layer Call Admission Control Scheme

Deploying wireless campus network becomes popular in many world universities for the services that are provided. However, it suffers from different issues such as low VoIP network capacity, network congestion effect on VoIP QoS and WLAN multi rate issue due to linkadaptation technique. In this paper a cross layer call admission control (CCAC) scheme is proposed to reduce the effects of these problems on VoWLAN based on monitoring RTCPRR(Real Time Control Protocol ReceiverReport) that provides the QoS level for VoIP and monitoring the MAC layer for any change in the data rate. If the QoS level degrades due to one of the aforementioned reasons, a considerable change in the packet size or the codec type will be the solution. A wireless campus network issimulated using OPNET 14.5 modeler and many scenarios are modeled to improve this proposed scheme.

Scanless fast handoff technique based on global Path-Cache for WLANs

Wireless LANs (WLANs) have been widely adopted and are more convenient as they are interconnected as wireless campus networks and wireless mesh networks. However, time-sensitive multimedia applications, which have become more popular, could suffer from long end-to-end latency in WLANs. This is due mainly to handoff delay, which in turn is caused by channel scanning. This paper proposes a technique called Global Path-Cache (GPC) that provides fast handoffs in WLANs. GPC properly captures the dynamic behavior of the network and mobile stations (MSs), and provides accurate next-AP (access point) predictions to minimize the handoff latency. Moreover, the handoff frequencies are treated as time-series data, thus GPC calibrates the prediction models based on short-term and periodic behaviors of mobile users. Our simulation study shows that GPC virtually eliminates the need to scan for APs during handoffs and results in much better overall handoff delay compared to existing methods.

A new VoIP quality evaluation for 60 GHz wireless campus network

We present the design concept of a campus network based on 60 GHz wireless links suitable for distance learning application and propose a new voice objective measurement method of Voice over IP (VoIP). A practical and convenient network design method for the 60 GHz wireless campus LAN is outlined. For the voice quality measurements a subjective evaluation by human Mean Opinion Score (MOS) is considered the best evaluation, although it has its drawbacks including costs and time for arranging such tests. A new objective measurement method is presented which simplifies the measurement for voice quality and the validity of the proposed method is confirmed by experiments.

A study of the wiring systems used in the building of a high‐speed wireless LAN

AbstractThis paper presents the in‐house wiring method for a 60‐GHz wireless campus network. In Japan, this frequency band was approved for use without a license for the first time in August 2000 by the Ministry of Posts and Telecommunications. We have constructed a new campus network in the Shinjuku district, in which the main buildings are connected by the new 60‐GHz wireless system. Two methods, one using a two‐strand fiber cable and the other using a multistrand fiber cable, for in‐house wiring are studied and their costs for the campus network construction are compared. We found the multistrand fiber cables could be made more cost‐effective and easy to install by using fiber junction boxes and media converters. We have confirmed the validity of the in‐house wiring method in the Waseda campus network. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(8): 13–21, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10405