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RISS 인기검색어
- 검색키워드
- 저자 : Muralidharan Shapna (검색결과 4 건)
- 무료
- 기관 내 무료
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PPT: A Push Pull Traffic Algorithm to Improve QoS Provisioning in IoT-NDN Environment
Muralidharan, Shapna,Sahu, Bharat J. R.,Saxena, Navrati,Roy, Abhishek IEEE 2017 IEEE communications letters Vol.21 No.6
<P>Internet of Things (IoT) is the convergence of connecting people, things, data, and processes. Named data networking (NDN) is a recent paradigm perceived for the future internet architecture to tackle the exponential increase in the volume of global IoT traffic. Traditionally, NDN supports PULL traffic, but IoT applications embrace both PULL and PUSH traffic. In this letter, we propose a hybrid PUSH-PULL traffic (PPT) model, for efficient data exchange in IoT applications. Simulation results indicate that our PPT algorithm can reduce the network load by 50% compared with the traditional IPv6, which in turn helps in almost 98% packet delivery ratio and no packet drop. The average throughput of our PPT model is 50% better than the IPv6 approach, which ensures a reliable IoT model.</P>
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MDP-IoT: MDP based interest forwarding for heterogeneous traffic in IoT-NDN environment
Muralidharan, Shapna,Roy, Abhishek,Saxena, Navrati North-Holland 2018 Future generations computer systems Vol.79 No.3
<P><B>Abstract</B></P> <P>Internet of Things (IoT) a vision, being built today, holds a new rule for future “anything that can be connected will be connected”. IoT needs to support a multitude of heterogeneous objects extended with sensors, actuators, RFID’s, etc. These “Smart Objects” need unique identification, autonomous data transfer and communication with other objects. Consequently, these unique requisites of IoT need a promising future Internet architecture as it mostly revolves around data. Furthermore, the existing host-centric IP standards though advantageous, faces challenges like additional protocols for mobility, end-to-end security while deploying it with massive IoT applications. Named Data Networking (NDN) project is a new evolving data-centric internet architecture with innovative capabilities like caching, named data, security which mainly suits the specifications of IoT thereby proposed to solve the shortcomings of IP. NDN traditionally supports a PULL based traffic and its stateful forwarding engine despite its skillful nature need some modification while designing for an IoT system. In this paper, our foremost work is to classify and prioritize IoT traffic and enable delay-intolerant applications with low latency, to retrieve Data efficiently. Next, we propose a Markov Decision Process (MDP) based Interest scheduling for IoT traffic with varying priorities and measure the performance with different traffic probabilities. Our simulation results show that prioritizing and treating requests based on their traffic type can reduce network load by 30 % thereby improving QoS in an IoT-NDN environment. The MDP-based IoT model schedules’ the Interest to the best interface efficiently reducing the RTT values on an average of 20 % – 30 % than conventional forwarding strategies. The incurred delay is ∼ 30 % better than existing work and forwarding strategies.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A Markov Decision Process (MDP)-based Interest Scheduling in IoT-NDN scenario. </LI> <LI> The model is proposed to satisfy delay-intolerant IoT applications efficiently. </LI> <LI> Prioritizing IoT traffic, and then scheduling the Interests with low latencies to right interfaces. </LI> <LI> This results in less RTT, thereby meeting latency requirements. </LI> <LI> Efficient model to solve Interest scheduling as the IoT system has many uncertainties. </LI> </UL> </P>
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COVID-Beat: a low-cost breath monitoring approach for people in quarantine during the pandemic
Atif Muhammad,Muralidharan Shapna,Ko Heedong,Yoo Byounghyun 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.3
Due to COVID-19, people have to adapt to the new lifestyle until scientists develop a permanent solution for this pandemic. Monitoring the respiration rate is very important for a COVID-infected person because the Coronavirus infects the pulmonary system of the person. Two problems that arise while monitoring the breath rate are: sensors are contact based and expensive for mass deployment. A conventional wearable breath rate monitoring system burdens the COVID-affected patient and exposes the caregivers to possible transmission. A contactless low-cost breath monitoring system is required, which monitors and records the breath rate continuously. This paper proposes a breath rate monitoring system called COVID-Beat, a wireless, low-cost, and contactless Wi-Fi-based continuous breath monitoring system. This sensor is developed using off-the-shelf commonly available embedded Internet of Thing device ESP32, and the performance is validated by conducting extensive experimentation. The breath rate is estimated by extracting the channel state information of the subcarriers. The system estimates the breath rate with a maximum accuracy of 99% and a minimum accuracy of 91%, achieved by advanced subcarrier selection and fusion method. The experimental results show superior performance over the existing breath rate monitoring technologies.
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Wi-ESP—A tool for CSI-based Device-Free Wi-Fi Sensing (DFWS)
Muhammad Atif,Shapna Muralidharan,Heedong Ko,Byounghyun Yoo 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.5
Recent progress in Device-Free Wi-Fi Sensing (DFWS) has established the use of wireless signals like Wi-Fi not only to communicate but also as a tool to enable device-free sensing. As an emerging technique, DFWS has many capable applications such as sensing activity and gesture and fall detection, monitoring elderly, surveillance, and many more applications while waiving out the necessity to mount devices on the object. A wide range of applications can use the channel state information (CSI) from commercial Wi-Fi devices pervasively for ubiquitous sensing. Existing CSI tools, such as the Intel 5300 network interface controller tool or the Atheros 9390 tool, have limitations when deployed in large-scale systems due to their high deployment costs and limitations in the resolution of CSI measurements. Due to these shortcomings, DFWS applications need an alternative CSI tool in order to perform efficiently. In this paper, we present ESP32-based Wi-ESP as a CSI gathering tool that can report detailed CSI measurements based on 802.11n standards. The proposed Wi-ESP tool works as a complete device by collecting the CSI measurements as well as processing further for DFWS applications. Wi-ESP can work as standalone device, unlike other CSI tools, and can offer large-scale deployment to many DFWS applications. In this paper, we have explored the options of Wi-ESP as a tool for CSI measurements and processing and propose it as a tool for DFWS.
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