Performance Analysis of WiFi Hotspot Network in Nnamdi Azikiwe University Awka

2016 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
E. O. Nonum ◽  
P. O. Otasowie
Keyword(s):  
Performance Analysis ◽  
Educational Institution ◽  
Base Station ◽  
Area Network ◽  
Wide Area Network ◽  
Key Factors ◽  
Data Intensive ◽  
Knowledge Culture ◽  
Data Throughput ◽  
Qos Performance

This work centres on the study of campus wifi hotspot networks in Nigeria universities, using the Nnamdi Azikiwe University Awka as a case study. A Campus Wide Area Network (CWN) provides a means of communication and collaboration in data intensive environments. These are vital key factors to building a strong knowledge culture and facilitating collaborative research for any educational institution. Network stumbler (Wifi Network Analyzer) and Iperf were installed on different laptop computers in the respective Access Points (AP) while being monitored from a dedicated server running on Mikrotik and wireshark. This was used in collecting useful data needed for the characterisation of the UNIZIK wifi hotspot network in terms of Received signal strength index (RSSI), Data throughput and latency/network delay. The AP distance from user is carefully measured with a meter tape. Performance analysis carried out on this university wifi hotspots shows that the network offers a delay of 0.1545s by default that increases by a factor of 0.001s; a data throughput of 37.30Mbps that decreases by a factor of 0.25Mbps for any user added to the network. Also, that an RSSI of -35.438dBm was obtained at the AP base station which decreases by a factor of 0.4925dBm for any 1m distance away from the APand finally that a traditional hotspot networks based on IEEE 802.11 series lacks integrated intelligence for services convergence, QoS performance and in most cases suffers from interoperability problem

scholarly journals Voice over IP using sip server: Wide area network performance analysis

2018 ◽  
Vol 9 (3S) ◽  
pp. 637
Author(s):  
M.N. Ismail ◽  
M.A. Shukran ◽  
K. Maskat ◽  
M.R.M. Isa ◽  
S. Ishak ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Network Performance ◽  
Voice Over Ip ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Sip Server ◽  
Network Performance Analysis

scholarly journals Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2224
Author(s):  
Stephen Ugwuanyi ◽  
Greig Paul ◽  
James Irvine
Keyword(s):  
Developing Countries ◽  
Performance Analysis ◽  
Service Providers ◽  
Area Network ◽  
Wide Area Network ◽  
Maximum Throughput ◽  
The Sustainable Development ◽  
Network Connection ◽  
Industrial Iot ◽  
New Research

Recently, Internet of Things (IoT) deployments have shown their potential for aiding the realisation of the Sustainable Development Goals (SDGs). Concerns regarding how the IoT can specifically drive SDGs 6, 11 and 9 in developing countries have been raised with respect to the challenges of deploying licensed and unlicensed low-power wide area network (LPWAN) IoT technologies and their opportunities for IoT consumers and service providers. With IoT infrastructure and protocols being ubiquitous and each being proposed for different SDGs, we review and compare the various performance characteristics of LoRaWAN and NB-IoT networks. From the performance analysis of our networks, NB-IoT, one of the standardised promising cellular IoT solutions for developing countries, is more expensive and less energy-efficient than LoRaWAN. Utilising the same user equipment (UE), NB-IoT consumed an excess of 2 mAh of power for joining the network and 1.7 mAh more for a 44-byte uplink message compared to LoRaWAN. However, NB-IoT has the advantage of reliably and securely delivering higher network connection capacity in IoT use cases, leveraging existing cellular infrastructure. With a maximum throughput of 264 bps at 837 ms measured latency, NB-IoT outperformed LoRaWAN and proved robust for machine-type communications. These findings will help IoT consumers and service providers understand the performance differences and deployment challenges of NB-IoT and LoRaWAN and establish new research directions to tackle IoT issues in developing countries. With Nigeria as a case study, for consumers and organisations at a crossroads in their long-term deployment decisions, the proposed LPWAN integrated architecture is an example of the deployment opportunities for consumer and industrial IoT applications in developing countries.

scholarly journals Structured Education for Sustainable Employment: Technology Enabled Queueing Theory Applications

2018 ◽  
Vol 10 (1) ◽  
pp. 75-86 ◽  
Author(s):  
Bhaskar Garimella ◽  
Sandeep Shenoy ◽  
Rashmi Yogesh Pai ◽  
Rishali Shetty
Keyword(s):  
Youth Unemployment ◽  
Area Network ◽  
Wide Area Network ◽  
Information Communication ◽  
Key Factors ◽  
Structured Education ◽  
Systematic Training ◽  
Unique Approach ◽  
Software Methodologies ◽  
Day By Day

Abstract Unemployment is a serious challenge that has been rising day by day. Skill development and creation of employment opportunities are key factors to address youth unemployment. This study emphasizes on the need for job-oriented education and to link education to employment. This study derives a mathematical model and tests the same using live university hiring data and attempts to integrate the three stakeholders, employers, education providers, and the young, each of whom have a unique approach, expectation, and understanding of the paradigm. Novel methodology inclusive of empirical evidence-based integration of objective fulfillment drafted into institutional pedagogy can help increase the success rate of education to employment from an Indian context especially Indian girls and women. The study outlines specific aspects of analytical intervention in this regard and focus-es on systematic training programs exclusively for vocational and skills amelioration executed to ad-dress this multidimensional challenge by adopting easily implementable software methodologies that are more easily implementable over a wide area network or an Internet-based application engine powered by information communication technology.

Performance analysis of fiber optical wide area network using SDM/WDM router

Optik ◽  
2013 ◽  
Vol 124 (14) ◽  
pp. 1700-1704
Author(s):  
Lan-Chih Yang ◽  
Chien-Chang Huang
Keyword(s):  
Performance Analysis ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Fiber Optical

scholarly journals LoRaWAN Base Station Improvement for Better Coverage and Capacity

2021 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Filip Turčinović ◽  
Gordan Šišul ◽  
Marko Bosiljevac
Keyword(s):  
Low Power ◽  
Long Range ◽  
Base Station ◽  
Base Stations ◽  
Area Network ◽  
The Novel ◽  
Wide Area Network ◽  
Energy Efficient Communication ◽  
Efficient Communication ◽  
Standard Base

Low Power Wide Area Network (LPWAN) technologies provide long-range and low power consumption for many battery-powered devices used in Internet of Things (IoT). One of the most utilized LPWAN technologies is LoRaWAN (Long Range WAN) with over 700 million connections expected by the year 2023. LoraWAN base stations need to ensure stable and energy-efficient communication without unnecessary repetitions with sufficient range coverage and good capacity. To meet these requirements, a simple and efficient upgrade in the design of LoRaWAN base station is proposed, based on using two or more concentrators. The development steps are outlined in this paper and the evaluation of the enhanced base station is done with a series of measurements conducted in Zagreb, Croatia. Through these measurements we compared received messages and communication parameters on novel and standard base stations. The results showed a significant increase in the probability of successful reception of messages on the novel base station which corresponds to the increase of base station capacity and can be very beneficial for the energy consumption of most LoRaWAN end devices.

IOT Technology Demonstration in ADNOC Onshore Fields. Real Time Monitoring at a Minimum Cost

2021 ◽  
Author(s):  
Martin Liebeck ◽  
Shamma AlShehhi ◽  
Mohammad Hariz ◽  
Khaled Eissa Hammadi ◽  
Alfredo Eduado Freites Camacaro ◽  
...  
Keyword(s):  
Data Storage ◽  
Remote Monitoring ◽  
Intervention Strategy ◽  
Base Station ◽  
Remote Access ◽  
Data Availability ◽  
Link Quality ◽  
Base Stations ◽  
Area Network ◽  
Wide Area Network

Abstract In brownfields, controlling well integrity is critical in maintaining production and ensuring safety of the personnel and infrastructures. Equally important is optimizing and allocating production in wells by closely following wellhead upstream pressures (and temperatures). In the current situation, field crews have to move from well to well. This method is time consuming, exposes personnel to driving hazards and potentially dangerous areas. In addition, human reading of manual pressure gauges can result in large discrepancy in the reported values. Together with the low frequency of manual readings, this method does not allow for pro-active well intervention and can result in higher downtime in case of well tripping. Deploying remote monitoring with classical telemetry in fields with limited telecommunication infrastructure is costly and complex. Low Range Wide Area Network (LoRaWAN), a public wireless network technology developed in 2009, changes the situation. It enables low power compact battery sensors with up to 10 km radio range. This performance is sufficient to connect, in one go, most onshore wells without power nor connectivity. This paper describes a pilot project to evaluate the adequacy of this technology in ADNOC Onshore fields. The objective is to assess performance of LoRaWAN deployed Sensors along four metrics: deployment time, deployment cost, Base station radio coverage and data availability. The pilot uses a plug-in ATEX- certified Wireless Pressure and Temperature (P&T) sensors developed by the vendor SRETT, commercial LoRaWAN Base stations, and proprietary software to provide remote access to the data via cloud data storage and web based application. For this pilot, four Base stations were deployed in two giant oil fields collecting data from four well heads each equipped with two sensors (P&T). This combination allowed testing wireless link quality over eight radio paths, some with terrain obstacles between Sensors and Base stations. The complete system was fully tested and validated at the shop prior to field deployment. Performances during the deployment was evaluated, and Sensor behaviors were monitored over a three-month period. In the current environment, maintaining a high HSE standard on aging infrastructure must be made at a controlled cost. LoRaWAN IoT remote monitoring technology is cost effective and efficient to deploy. Once deployed, it will enable preventative safe detection of wells with potential issues, improved accuracy and understanding of production events and lead to a reduction of potential adverse situations thanks to an optimized intervention strategy.

Lower latency in LPWAN NETWORKS

2018 ◽  
pp. 154-159
Author(s):  
Krum Videnov ◽  
Georgi Hristov
Keyword(s):  
Low Power ◽  
Access Network ◽  
Base Station ◽  
Area Network ◽  
Wide Area Network ◽  
Delay Sensitive ◽  
Radio Access ◽  
Multi Access ◽  
Real Time Information ◽  
Time Information

The report compares LPWAN (low-power, wide-area network) and MEC (Multi-access edge computing) topologies, examines opportunities to achieve lower latency in LPWAN networks by integrating their architecture with the MEC paradigm. LPWAN networks are highly suitable to be combined with a MEC architecture. The radio-access equipment place,e.g., base station, gateway, etc., is a main location to run delay-sensitive applications, processing/storage offloading tasks, or hosting those services that need in real-time information from the RAN (Radio Access Network). For that reason, this places in the network has been identified as ideal for installing the MEC equipment.The four-tier architecture of LPWAN and MEC are kept, so they perfectly match with each other.

Sign in / Sign up

Export Citation Format

Share Document