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Featured researches published by Israr Ullah.


Mobile Information Systems | 2018

IoT Services and Virtual Objects Management in Hyperconnected Things Network

Israr Ullah; Muhammad Sohail Khan; Do-Hyeun Kim

In recent past, Internet of Things- (IoT-) based applications have experienced tremendous growth in various domains, and billions of devices are expected to be connected to the Internet in near future. The first step for development of IoT-based applications is to virtualize the physical devices by abstracting device properties in virtual objects. Later, these virtual objects can be combined to compose different services for diverse applications. Many existing systems provide virtualization service for physical devices and service composition. But, with the growth of the network, when too many devices and services are added in the IoT network, its management will become a cumbersome task. This paper presents an architecture of IoT services and virtual objects management in hyperconnected things network to facilitate the management tasks. We also have implemented a Service and Virtual Objects Management (SVOM) system prototype to effectively organize and monitor the physical devices through corresponding virtual objects and services composed in the IoT environment. The proposed system also provides interface for user interaction to perform supported control operations on selected device and check device operational and fault status. For scalability analysis of the proposed system, we have performed simulation in the OMNeT++ simulator to study impact of the IoT network size on key performance measures like response time, throughput, and packet delivery ratio. Simulation results reveal that with the growing network size, the gateway nodes become the performance bottleneck. We have also performed resources requirement analysis for virtual objects and control overhead analysis of the proposed management system. Simulation results reveal that control overhead is insignificant in normal scenarios; however, in extreme network conditions, we may have to sacrifice fewer bits which is, in fact, worth nothing when compared to the flexibility and control offered by the proposed management system.


Energies | 2018

A Prediction Mechanism of Energy Consumption in Residential Buildings Using Hidden Markov Model

Israr Ullah; Rashid Ahmad; Do-Hyeun Kim


Applied Sciences | 2017

An Integrated Risk Index Model Based on Hierarchical Fuzzy Logic for Underground Risk Assessment

Muhammad Fayaz; Israr Ullah; Dong-Hwan Park; Kwangsoo Kim; Do-Hyeun Kim


Processes | 2018

A Blended Risk Index Modeling and Visualization Based on Hierarchical Fuzzy Logic for Water Supply Pipelines Assessment and Management

Muhammad Fayaz; Shabir Ahmad; Israr Ullah; Do-Hyeun Kim


Processes | 2018

An Optimization Scheme for Water Pump Control in Smart Fish Farm with Efficient Energy Consumption

Israr Ullah; Do-Hyeun Kim


Applied Sciences | 2018

Analytical Modeling for Underground Risk Assessment in Smart Cities

Israr Ullah; Muhammad Fayaz; Do-Hyeun Kim


Energies | 2017

An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes

Israr Ullah; Do-Hyeun Kim


Processes | 2018

Underground Risk Index Assessment and Prediction Using a Simplified Hierarchical Fuzzy Logic Model and Kalman Filter

Muhammad Fayaz; Israr Ullah; Do-Hyeun Kim


Processes | 2018

An Adaptive Approach Based on Resource-Awareness Towards Power-Efficient Real-Time Periodic Task Modeling on Embedded IoT Devices

Shabir Ahmad; Sehrish Malik; Israr Ullah; Muhammad Fayaz; Dong-Hwan Park; Kwangsoo Kim; Do-Hyeun Kim


International Journal of Grid and Distributed Computing | 2018

IoT Resource Management using Direct Discovery Mechanism in OCF Framework

Israr Ullah; Do-Hyeun Kim

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Do-Hyeun Kim

Jeju National University

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Muhammad Fayaz

Information Technology University

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Dong-Hwan Park

Electronics and Telecommunications Research Institute

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Faiza Tila

Jeju National University

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Rashid Ahmad

Jeju National University

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Sehrish Malik

Jeju National University

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