Quality Of Service Analysis Research Articles

A QoS Analysis of SHA Algorithms for IoT Systems

Secure Hash Algorithms (SHA) are widely used in the Internet of Things (IoT) systems for message authentication and integrity verification. However, the performance of different SHA algorithms can vary significantly in terms of Quality of Service (QoS) metrics such as area utilization, processing speed, energy efficiency, and security. In this paper, we present a comprehensive analysis of the QoS parameters of various SHA algorithms and discuss the trade-offs between performance and security when selecting SHA algorithms for resource-constrained IoT devices. The study focuses on the hardware implementation of SHA algorithms in Field-Programmable Gate Array (FPGA) devices, which are commonly used in IoT applications. The performances and resource utilization of different SHA algorithms are compared and analyzed. The comparative results show that SHA-2 provide a good balance between performance and security, but SHA-3 provide better security due to its resistance to attacks such as length extension and collision

Penerapan Metode Quality of Service (QoS) dalam Analisis Kualitas Jaringan Internet Burjo Pantry Semarang

The rapid progression of technology enables humans to exchange data and communicate remotely, eliminating the need for face-to-face interactions. The internet network, a product of this technological advancement, undergoes evaluation through the Quality of Service (QoS) method, which measures network service quality. This research focuses on assessing the internet network quality at Burjo Pantry in Semarang, utilizing a quantitative approach with a Quality of Service analysis. The throughput results reveal 1682Kbps in the terrace area and 7266Kbps indoors at Burjo, both categorized as 'very good.' Likewise, the delay, with 128,75ms in the terrace and 145ms indoors, falls into the 'very good' category. Both areas exhibit excellent jitter: 1,77ms for the terrace and 26,46ms indoors. Packet loss is minimal, with 1,73% in the terrace area and 0,68% indoors, both considered 'very good.' Overall, the study indicates the commendable quality of the internet network at Burjo Pantry in Semarang.

Performance Analysis of BGP Dynamic Routing Protocol using QOS for TCP and UDP Services

The Border Gateway Protocol (BGP) is commonly used for TCP and UDP services, but it poses challenges in terms of Quality of Service (QoS) analysis. Parameters like throughput, packet loss, delay, and jitter are crucial for assessing network service quality. This study aims to analyze the performance and influence of the BGP routing protocol on TCP and UDP services using QoS parameters. The research used a GNS3 network simulation to conduct multiple packet transmission tests for TCP and UDP protocols, lasting 15, 30, and 60 seconds; and monitored using Wireshark. For TCP services, the average QoS index value is 3.75, categorizing the quality as "Good". The tested network topology and routing configuration exhibit reliable performance, providing good throughput, low packet loss rates, minimal delays, and stable jitter. Similarly, UDP services demonstrate “Good” performance with an average QoS index of 3.75. The BGP routing protocol in the tested network topology ensures high-quality service with good delivery speed, low packet loss rate, minimal delay, and stable jitter. Overall, the study concludes that the BGP routing protocol effectively provides satisfactory QoS for TCP and UDP services. This research contributes to understanding network performance and optimizing routing protocols for improved telecommunications services. The findings highlight the significance of routing protocols in facilitating efficient data transmission on the Internet, reinforcing the importance of QoS analysis for enhancing service quality.

Analysis of Multi-Node QoS in Shrimp Pond Monitoring System with Fog Computing

Most of Indonesia’s territory consists of oceans, presenting a significant potential for developing the fisheries sector. Shrimp is among Indonesia’s flagship commodities with substantial export potential. Internationally, Indonesia holds the fourth position as the largest exporter of frozen shrimp globally. However, shrimp cultivation faces various challenges, including declining water quality due to factors such as water sources and weather, which can adversely affect harvest yields. To preempt potential failures, employing smart devices and technology in shrimp cultivation offers an effective and efficient solution for monitoring and management. This study aims to analyze water quality monitoring in ponds considering the speed of data transmission from end devices to fog using Quality of Service (QoS) parameters like delay/latency, throughput, and packet loss. Data transmission tests were conducted at data rates of 5 Mbps and 10 Mbps, with a bandwidth of 1500 Mbps. The study involves three sensors—water temperature, pH, and salinity—placed in shrimp ponds. Test results showed a decrease in throughput by 1.54% at the sensor node and 2.99% at the sink node when packet data delivery encountered barriers like obstacles. There was a 74.13% increase in latency when the delivery distance extended to 35 meters. The achievable delivery range with low latency was up to 10 meters with barriers and 25 meters without. Thus, latency and throughput values vary depending on the presence of barriers and transmission distance. Barriers tend to increase latency and decrease throughput.

Four-Layer QoS Analysis for Multimedia Traffic over Wi-Fi Network at UPNVJ Laboratory

One technique to evaluate and enhance the quality of telecommunications services is to monitor and measure the Quality of Service (QoS) and the user’s Quality of Experience (QoE). This method is suitable to be performed in an area that provides public Wi-Fi for multi-user, such as Wi-Fi at the UPN Veteran Jakarta Electrical Engineering Laboratory. The survey results show that there are still many issues experienced by users regarding the availability, accessibility, retainability, and stability of the network and application services accessed. The multimedia application services analyzed in this study are WhatsApp Desktop Call (voice traffic), Zoom Meeting (video traffic), and the UPNVJ LeADS web (data traffic). The tools used for data collection are Wireshark, PRTG, router admin panel web, and Command Prompt. Based on the monitoring, it was found that: network quality degrades when connected to more than 5 devices at the same time, frequent downtime conditions can reach 54% in a day, and the average data packet traffic speed across one device is 4,34 Mbps. Based on the average calculation of the QoS parameters measured: the highest throughput value is obtained on the UPNVJ LeADS web which reaches 102,09 Kbps, the highest delay value is obtained in the WA Desktop Call which reaches 521,39 ms, the highest jitter value is obtained in the WA Desktop Call which reaches 1,21 ms, and the highest packet loss value is obtained in Zoom Meeting which reaches 2,16%. The most common issue experienced by users is the “no internet” condition on the Wi-Fi network. The solution for network optimization in this condition can be done by administration setting and network management.

Quality of Service Analysis on EaTrain Application at A Restaurant on A Train

One of the services on the train is a dining car that sells food and drinks. However, the current system has problems such as the unclear position and operating hours of the dining car, the lack of menu information, and the difficulty of officers in giving change. The purpose of this research is to make it easier for passengers to order food and drinks, increase the officer’s efficiency in managing menu, and determine the network quality while using the EaTrain application on the train. The EaTrain application was built using android studio with cloud firestore as a database for storing data, and integrated with midtrans payment gateway in making payments. Wireshark software is used to measure the network quality of EaTrain application in train restaurant. The test results show that the EaTrain application can run well on Android 7.0 devices and above. The value of delay, throughput, and packet loss in Quality of Service (QoS) testing while making payments is determined by network quality of each provider. Provider A has average delay of 123ms, packet loss is 10.72%, and throughput is 3974 bps. While provider B has average delay at 1343ms, packet loss is 50.88%, and throughput is 33628 bps.

Quality of Service Analysis on EaTrain Application at Railway Restaurant

Quality of Service Analysis on EaTrain Application at Railway Restaurant

COMPARATIVE STUDY OF CLOUD COMPUTING NETWORK SERVICES BASED ON QoS ANALYSIS USING TIPHON STANDARD

Currently, data plays a very important role for companies or agencies. The amount of data owned, processed, and exchanged is getting bigger, so companies need more and more resources to manage it. Cloud computing technology is an efficient and economical alternative that allows users to utilize Information Technology (IT) resources flexibly, in terms of infrastructure and applications. Its key advantages include cost efficiency, scalability, data security, disaster recovery, and fast global access. The rapid development of cloud technology has led to many Cloud Service Providers (CSPs). The performances of the CSPs vary widely, thus it is necessary to understand the network performance characteristic from the CSPs so that users can select a more suitable service. Network capabilities in cloud computing technology are crucial, considering that all company activities are carried out through the network. In this study, the main focus was to test the network capabilities of the two biggest cloud services The results of the Quality of Service (QoS) comparison will provide recommendations or input for companies or agencies in choosing the cloud service provider that best fits their needs. Thus, it was obtained that this research can provide useful guidance in optimizing the use of cloud computing technology to support business activities and innovation in various fields, including the field of education. Based on the results of the research, the network performance of the two CPS is very good in terms of the TIPHON standard. Based on QoS analysis, especially in terms of throughput, CPS “A” shows better upload activity results, while CPS B has better results for downloading activities.

Analisis QoS (Quality of Service) Perangkat IoT pada Pendingin Ruangan Server PT.Skynet Indonesia Madani

PT Skynet Indonesia Madani, a telecommunications company based in Batam City, specializes in providing Broadband Internet and Dedicated Internet services as an Internet Service Provider (ISP). With servers capable of supporting up to 5,000 customers across various areas in Batam City, maintaining network stability is paramount. A critical component of this stability is the server room's temperature regulation. Regular monitoring and control of the air conditioning in the server room are essential to prevent device failures due to errors or overheating. To enhance reliability and reduce human error, an automatic control system for the server room's air conditioning was developed. This system, built using Wemos D1 R1, DHT11 Module, IR Transceiver, PZEM V2.0, Tp-link TL-WR840N, and Tp-link TL-SF1008D, offers features such as scheduled cooling activation, real-time server room temperature monitoring, and notification capabilities for air conditioning disruptions. The system is web-based, facilitating remote access and control. The development approach for this system employed the Waterfall method, complemented by QoS (Quality of Service) analysis techniques. This research aims to evaluate the quality and effectiveness of the automatic control system for PT Skynet Indonesia Madani's server room air conditioning.

Energy‐efficient machine type communication in HetNets under statistical QoS guarantees

AbstractThere has been an unprecedented rise in the Internet‐of‐Things (IoT) in the past decade. One of the underlying reasons for this exponential growth is that IoT allows for massive machine‐type communication (mMTC), which facilities machine‐to‐machine (M2M) communication with minimal human intervention. However, mMTC devices are characterized by resource and energy limitations, and thus require powerful and efficient power allocation methods that do not jeopardize quality‐of‐service (QoS) performance. In this work, a statistical QoS analysis of M2M communication in heterogeneous wireless networks is performed. We propose a communication mode selection (CMS) scheme that selects an uplink transmission link from the available candidate links based on pathloss criteria. The closed‐form expressions for the Effective Capacity and effective energy efficiency (Effective‐EE) of the M2M communication in the heterogeneous wireless network are derived and verified via simulations. The optimal fixed transmission rate that maximizes the Effective Capacity and Effective‐EE is also analytically analyzed. Furthermore, four scenarios are adopted to study the overall Effective Capacity and Effective‐EE of a two‐hop M2M communication link where the transmitter and access point operate under independent and identical QoS constraints. This article also investigates the impact of circuit power and the efficiency of the power amplifier on the achievable Effective‐EE of the communication link.

Quality of Service Analysis in Hand Gesture Identification Application Based on Convex Hull Algorithm to Control a Learning Media

The technique of human interaction with computers has developed very rapidly. Body movement is the easiest and most expressive way and hand movements are flexible. We can use gestures as a simple identification command. This research discusses the application of hand gesture reading as a remote control for learning media and analyzes its quality of service using Wireshark software. This system uses a Raspberry Pi as a computing center. Raspberry Pi reads hand gestures using the Convex Hull algorithm, which can read the number of fingers raised on the hand by taking the outermost point in the contour scan of the hand. Each gesture in the form of the number of fingers was allocated to the keyboard commands used to select answers on the learning media. On the learning media side, a quiz system was created that uses keyboard commands to select the answers. Then the Raspberry Pi is connected to the laptop using a third-party application called VNC. Based on QoS measurement results, the throughput result is 62 kbps, which is included in the very good category. Packet Loss of 0%, which is also included in the very good category. The delay of 52.2 ms, which is included in the very good category. Thus, the overall quality of the network can be categorized as very good.

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

AbstractThe 6G wireless network with its superior capabilities must be considered to accommodate the much more stringent quality of service (QoS) requirements of the numerous emerging applications and services in the future. Attempting to adhere these constraints raise various challenges that are required to be addressed and solved in order to realize the vision of a fully intelligent and automated future society. This article provides the key enabling technologies and future applications for 6G networks followed by a discussion on QoS. It also presents a state‐of‐the‐art survey on the challenges faced while trying to meet the QoS requirements regarding the time latency, throughput, connectivity, packet loss, and bandwidth, together with possible solutions to handle various constraints. A discussion on user satisfaction estimation from QoS analysis is also included. Finally, the article concludes with future research opportunities in meeting the QoS constraints of the 6G network.

Analysis of Computer Network Performance on Communication and Informatics Office of West Sumbawa Regency Using Quality of Service Method

This study aims to determine and analyze network performance with quality of service parameters in realizing good and optimal network performance quality so that it can be adjusted between the efficiency of network needs and the effectiveness of user access at the Communication and Informatics Office of West Sumbawa Regency. The process of accumulating data is obtained by measuring the quality of service parameters using the quality of service method and measuring bandwidth load distribution with the load set at 30 Mbps. The quality of service method on the network, the influence between the variables of network performance quality on the internet connection, and the bandwidth capacity of each user are known. The study results from the quality of service analysis at the Communication and Informatics Service of West Sumbawa Regency entered the excellent category with an average throughput value ranging from 10,320-1,026,454 kbps from the fourth index being in the excellent category. The average packet loss value of 0-1.5% of the third index is in a good category, with the highest value occurring on the fifth day, 1.5%. The average delay value ranges from 7-150 ms, with the highest delay value occurring on the first day due to the user's distance from the remote network access source and queues in dense packet transmission. The average jitter value of 1-12 ms from the third index is in a good category, and the maximum result of the bandwidth value set in size is 9,092,407 bps

Enhanced Metaheuristic Algorithm-Based Load Balancing in a 5G Cloud Radio Access Network

Mobile operators must increase investments in network infrastructures due to the emergent growth of the internet and technological advancements. Mobile operators consider cloud-RAN and software defined networking to be developing technologies that can reduce costs and increase scalability for fifth-generation mobile communication networks (5G). A base station consists of two important components, namely baseband (BBU) and remote radio head (RRH) units. Unbalanced data traffic can arise, leading to call dropping and call blocking. When network traffic conditions start to vary, the performance of the system becomes suboptimal. Self-optimization of the network is necessary to reduce the load of overloaded eNode’s with more call blocking, that increase the load of underloaded eNode’s with less utilization of resources. The main objective of a self-organizing network is to reduce call blocking and optimize an unbalanced network. The proposed algorithm is an enhanced version of the cat swarm optimization algorithm performed by the host manager entity to select the best BBU-RRH combination after analyzing the quality-of-service (QoS) information from the remaining BBU-RRH configurations. Optimization is carried out on each user after a QoS analysis for every new BBU-RRH combination. The proposed algorithm is implemented in Matlab R2020a and evaluation is conducted in terms of blocking probability, response time, and throughput. The simulation results show that the proposed ECSO optimization algorithm reduces blocking probability by 10%, throughput is increased by 8%, and response time is reduced by 7% as compared with the existing PSO and CSO algorithms.

Analisis Quality of Service (QoS) Jaringan Internet Pada Admin Building PT. Semen Baturaja (Persero) Tbk. Berbasis Wireshark

This study discusses the QoS (Quality of Service) Analysis of the Internet Network in the admin building of PT. Semen Baturaja. Quality of Service is a method of measuring how good the network is and is an attempt to define the characteristics and properties of a service. Referring to the construction of internet services in the admin building of PT. Semen Baturaja, it is necessary to research the measurement of QoS (Quality of Service) of the internet network in the admin building of PT. Semen Baturaja.Measurements of QoS parameters such as Delay, Jitter, Packet Loss and Throuhgput were carried out on the 1st floor at 08.00 WIB, 12.00 WIB and 16.00 WIB using the Wireshark application. average delay is 20,695 ms with index 4 and category "Very Good", jitter is 3,263 ms with index 3 and category "Good", packet loss is 1.119% with index 2 and category "Enough" and throughput is 1.137 Mbps with index 4 and “Very Good” category. So that the total average index obtained is 3.25. So it can be said that the quality of internet network services in the admin building of PT. Semen Baturaja is categorized as "Good" according to the TIPHON standard

Performance analysis of telecommunications regulations in Nigeria: A quality of service approach

The revolution of wireless communications regulations in Nigeria signifies enhancement in ICT innovation, investment opportunities, fair competition and inclusive growth through, strategic collaboration and partnerships to protect and empower consumers. The demand for data in the 4G (Fourth Generation networks) and 5G (Fifth Generation networks) is becoming excessively high and the solution is being investigated to effectively utilize the available spectrum at the physical layer across different protocols to speed-up bandwidth access from 2.5 to 10 times to support new high-performance applications (e.g. e-health, high definition video streaming, network gaming, e-commerce, e-government etc.) To realize the above targets the operators need to provide some form of Quality of Service (QoS) and Quality of Experience (QoE) assurance. The 8-Point Agenda of the EVC/CEO of Nigerian Communications Commission (NCC) factored upon a tripod of Availability, Accessibility and Affordability of Service, the Nigerian Communications Act 2003, the National Telecommunications Policy, the Strategic Management Plan of the Commission, the National Digital Economy Policy and Strategy and other extant regulatory provisions are utilized to regulate telecommunications services and promote universal access in Nigeria. This paper reviewed the QoS Key Performance Indicators (KPIs) like The CSSR, DCR, SDCONG, and TCHCONG CSSR, MTTR, and Power Availability for 2G, 3G and 4G according to the International Telecommunications Union Standards (ITU-T) and NCC criteria. Literature review on QoS and congestion control analysis were conducted and the research gaps were identified for the development of effective regulations and operational excellence. Recommendations were made on the way forward to explore the optimization of electricity supply to base station using hybrid system, renewable and green energy to reduce operational cost and emissions.

Quality of Service (QoS) for Network Performance Analysis Wireless Area Network (WLAN)

Quality of Service (QoS) is the ability of a network to provide good service by providing bandwidth, overcoming jitter and delay. Wireless LAN network performance must always be maintained properly. Therefore, to determine the quality of the wireless LAN internet network at Asahan University, it is necessary to analyze network performance, focus on how to monitor and measure the performance of the wireless LAN network, and find out how big the network performance is on the infrastructure. as the speed of access from the sending point to the destination point. Access speed is measured by measuring throughput, delay, jitter and packet loss on the network at Asahan University. Research conducted using quantitative methods consists of 4 stages, namely conceptual, design, empirical and analytical. In the QoS (Quality of Service) analysis carried out using the Wireshark application and using the TIPHON standard, the results obtained from the quality of the WLAN network of each faculty at Asahan University are different. Throughput measurement obtained an average result of 582.08 Kb/s and is categorized as medium. The average packet loss measurement result is 5.39% and is categorized as good. The delay measurement results obtained an average of 15.62 ms and is categorized as very good. The average result of the jitter measurement is 4.50ms with good category.

A Comprehensive Analysis of QoS in Wired and Wireless SDN Based on Mobile IP

Software-Defined Networking (SDN) is the new network paradigm whose primary focus is to create a dynamic, scalable and flexible network. It provides programmable functions for implementation of network configuration management. The demand for wireless network functionality is rising simultaneously. Mobility management for a large network is an issue in Internet Engineering Task Force (IETF). There are also a number of solutions to support mobility within the network. The Mobile Internet Protocol (MIP) is used for managing mobility. Furthermore, for the SDN platform, mobility adds roaming capability for mobile nodes in the software-defined wireless network (SDWN). In the wired scenario, SDN has different capabilities to deliver network services according to the fixed node. This study provides a quality of service (QoS) analysis in both SDN and SDWN. Mininet WiFi and RYU network emulator as a controller is used to implement the mobility API. The random walk model is applied as mobility functionality toward the final nodes. Moreover, several QoS measurement matrices are analyzed according to the network topology. At the end, round trip time (RTT), cumulative distributed function (CDF), packet loss and throughput are analyzed for quality of service comparable in the SDN and SDWN scenarios according to the MIP.

QoS Analysis and Signal Characteristics for Short-Range Visible-Light Communications

Visible-light communications (VLCs) are energy-efficient communication means and a popular alternative to the radio-frequency technology. VLCs are referred to as free-space optical communication systems which can be built upon the existing lighting infrastructure. Due to the cost-effectiveness concern, light emitting diodes (LEDs) are adopted as the visible-light sources. In this paper, we demonstrate a VLC prototype using white LEDs and pulse position modulation (PPM), which is aimed for short-range communications. Based on the acquired VLC signal waveforms, characteristics related to electronic components, LEDs, and photo diodes (PDs) are studied thoroughly. The non-square shape of received pulses is modeled by new template functions involving rising and setting time intervals. A new PPM demodulator is devised thereupon. Meanwhile, the probability density function of noise is derived using the Edgeworth expansion. As all of the aforementioned aspects are taken into account, the VLC quality-of-service (QoS) in terms of package error rate and throughput is studied in this work. Experiments are taken to justify the theoretical QoS metric and evaluate our proposed new PPM demodulator.

Development of a Crowdsourced-based Mobile Application for Measuring Quality of Internet Service Offered by Mobile Network Operators

Wireless mobile internet is migrating towards an integrated system of internet and mobile communication network to fulfill the future of mobile network requirement: ubiquitous communication, where mobile users move freely almost anywhere and have access to the internet, communicate with anyone, anytime with any application using the best service available. This demands rapid progress in mobile communication networks and their internet technologies. This research project on the analysis of the Quality of Service (QoS) provided by Mobile Network Operators (MNOs) in the cellular internet networks. It aims to analyze and address the QoS of the internet network experienced by the user. QoS monitoring and analysis require the processing of large amounts of data and knowledge of which kinds of applications the traffic is generated by. To obtain satisfactory QoS based on internet network analysis, some network metrics must be measured and monitored at a regular time interval. In this research work, the network metric that will be measured for the internet service are signal strength, download speed, upload speed, and network transaction latency. This network metrics data will be collected from the consumer’s mobile device by the use of a crowdsourcing mobile application that is installed on the consumer’s mobile device. The investigation will cover mobile communication network providers in Nigeria. The data collated is then evaluated and analyzed.