Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

Salama, Abdussalam; Saatchi, Reza; Burke, Derek

doi:10.3390/technologies6010024

Cited by 5 publications

(2 citation statements)

References 25 publications

(34 reference statements)

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“…In these environments, quality of service (QoS) for delivering applications plays a key role. QoS refers to mechanisms that allow performance of wireless computer networks to be assessed and the resulting information be used to improve transmission of applications (e.g., video, audio, data) according to their requirements [19][20][21][22][23].…”

Section: The Iot In Healthcarementioning

confidence: 99%

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

2021

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The Internet of Things (IoT) in healthcare has gained significant attention in recent years. This study demonstrates an adaptation of IoT in healthcare by illustrating a method of respiration rate measurement from a platform that simulates breathing. Respiration rate is a crucial physiological measure in monitoring critically ill patients. The devised approach, with further development, may be suitable for integration into neonatal intensive care units (NICUs) to measure infants’ respiration rate. A potential advantage of this method is that it monitors respiration using a wireless non-contact method and could add benefits such as preservation of skin integrity. The paper aimed to assess the accuracy of an IoT-integrated ultrasound (US)-based method for measuring respiration rate. Chest movement due to respiration was simulated by a platform with a controllable moving surface. The magnitude and frequency of the movements were accurately controlled by a signal generator. The surface movements were tracked using US as a reliable and cost-effective technology. ESP8266 NodeMCU was used to wirelessly record the US signal and ThingSpeak and Matlab© were used to analyze and visualize the data in the cloud. A close relationship between the measured rate of the simulated respiration and the actual frequency was observed. The study demonstrated a possible adaption of IoT for respiration rate measurement, however further work will be needed to ensure security and reliability of data handling before use of the system in medical environments.

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Section: The Iot In Healthcarementioning

confidence: 99%

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

2021

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“…The inference engine performs reasoning by comparing the input values with the domain knowledge coded in the knowledgebase by a series of IF-THEN rules to indicate the output. De-fuzzification is a process whereby the outcomes of the rules are combined to produce an aggregated membership function from which the FIS output is determined [20].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Wirelessly Transmitted Video Quality Using a Modular Fuzzy Logic System

Salama¹,

Saatchi²

2019

Technologies

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Video transmission over wireless computer networks is increasingly popular as new applications emerge and wireless networks become more widespread and reliable. An ability to quantify the quality of a video transmitted using a wireless computer network is important for determining network performance and its improvement. The process requires analysing the images making up the video from the point of view of noise and associated distortion as well as traffic parameters represented by packet delay, jitter and loss. In this study a modular fuzzy logic based system was developed to quantify the quality of video transmission over a wireless computer network. Peak signal to noise ratio, structural similarity index and image difference were used to represent the user's quality of experience (QoE) while packet delay, jitter and percentage packet loss ratio were used to represent traffic related quality of service (QoS). An overall measure of the video quality was obtained by combining QoE and QoS values. Systematic sampling was used to reduce the number of images processed and a novel scheme was devised whereby the images were partitioned to more sensitively localize distortions. To further validate the developed system, a subjective test involving 25 participants graded the quality of the received video. The image partitioning significantly improved the video quality evaluation. The subjective test results correlated with the developed fuzzy logic approach. The video quality assessment developed in this study was compared against a method that uses spatial efficient entropic differencing and consistent results were observed. The study indicated that the developed fuzzy logic approaches could accurately determine the quality of a wirelessly transmitted video.

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Quality of Service in IEEE 802.11ac and 802.11n Wireless Protocols with Applications in Medical Environments

Salama

Saatchi

2020

Advances in Asset Management and Condition Monitoring

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Wireless computer networks are increasingly important as reliable means of communication in medical environments. Evaluation of Quality of Service (QoS) in wireless computer networks deployed in medical environments can improve network performance and enhance utilization of resources. In this study, the QoS offered by IEEE 802.11n and IEEE 802.11ac wireless protocols was evaluated and compared using multiple point-to-point links for Voice Over Internet Protocol (VoIP) traffic. QoS was evaluated based on Predictive Statistical Diagnosis (PSD) and Probabilistic Neural Network (PNN). PSD and PNN based QoS evaluation methods categorized the VoIP packets into low, medium and high QoS types based on the packets' transmission delay, jitter, and percentage packet loss ratio. Both PSD and PNN allowed QoS for VoIP to be quantified accurately. It was shown that 802.11ac provides a higher QoS for VoIP transmission as compared with IEEE 802.11n. The devised methods can be used in medical environments for evaluation of wireless networks' QoS.

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Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

Cited by 5 publications

References 25 publications

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

Evaluation of Wirelessly Transmitted Video Quality Using a Modular Fuzzy Logic System

Quality of Service in IEEE 802.11ac and 802.11n Wireless Protocols with Applications in Medical Environments

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