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      • Sustainable Tourism Development: Harvesting the Tourism Potential in Developing Economies through Cluster Development

        Muhammad Abdullah,M,Zuhair Murad Khan,M,Ali Anwer 한국문화관광학회 2019 문화관광연구 Vol.21 No.1

        It is imperative to view development of tourism sector from a spatial lens. The spatial distribution of the tourism assets of Punjab is dispersed around three distinct zones. Therefore, the Hub and Spoke model, which advocates the development of zones is adopted and three tourism zones are proposed including North Tourism Zone, Lahore Tourism Zone and Southern Tourism Zone. These zones have much to offer in terms of natural beauty, unique landscapes, ethnicity, languages, history, religious attractions, culture and exotic foods. These zones have the potential to accommodate substantial load of local tourism and international tourists

      • Smart city designing and planning based on big data analytics

        Khan, Murad,Babar, Muhammad,Ahmed, Syed Hassan,Shah, Sayed Chhattan,Han, Kijun Elsevier 2017 Sustainable cities and society Vol.35 No.-

        <P><B>Abstract</B></P> <P>The Internet of Things (IoT) provides a global communication network between millions of devices connected to the internet. Similarly, the emergence of heterogeneous wireless networks provides a medium to the IoT communication paradigm. In order to enable an energy-friendly communication in an IoT environment, such as smart home, office, city, etc. we propose an energy-aware communication systems for IoT environments. The proposed scheme works in several phases such as identification of high energy require appliances, deployment of sensors, scheduling, etc. Moreover, the data from the IoT devices are collected through sensors. The data is tested using the Hadoop ecosystem for future planning and efficient usage of the energy in an IoT environment. The proposed architecture is tested in a different scenario against the Wireless Sensor Network (WSN) based IoT architecture in the context of energy consumption. The proposed architecture performs efficiently than WSN in a number of scenarios. Similarly, the efficiency and processing time of the Hadoop system is computed which shows better results.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Internet of Things (IoT) provides a global communication network between millions of devices. </LI> <LI> Energy-aware communication systems for IoT environments. </LI> <LI> Scheduling mechanisms are used to prioritize the home appliances. </LI> </UL> </P>

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        A Framework for Agile Development in Cloud Computing Environment

        ( Muhammad Younas ),( Imran Ghani ),( Dayang N. A. Jawawi ),( Muhammad Murad Khan ) 한국인터넷정보학회 2016 인터넷정보학회논문지 Vol.17 No.5

        Distributed agile software development faces difficulties for instance lack of visibility across development and delivery processes, complex and disjointed development processes, inability to capitalize on business opportunities, lack of communication agility between disconnected owners, development teams, and users or clients. However these difficulties are solved with the help of cloud computing services. This study proposes a framework to provide a skeletal or structural environment for distributed agile software development in cloud computing environment. The framework guide towards the best tooling to deliver a consistent, automated, governed, and unified agile software development process with reduced technical debt, and minimized project backlog. In addition to this, the study highlights the benefits of cloud computing in agile software development.

      • Demand Side Management in Residential Communities Using Aggregated Least Slack Time Algorithm

        Bhagya Nathali Silva,Murad Khan,Kyuchang Lee,Diyan Muhammad,Jihun Han,Zhenbo Cao,Kijun Han 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8

        Over the past few decades smart home realization was highly favored by the advancements of smart devices and appliances. Among various services, energy management became a crucial service in modern smart homes. Appliance scheduling plays a key role in user dependent domestic energy management. Hence, this article proposes a smart home appliance scheduling mechanism based on Least Slack Time (LST) algorithm. Further, time based consumption thresholds and renewable energy sources were introduced to avoid peak shifting and to maximize sustainable energy usage during appliance scheduling. Performance of the proposed scheme in a community scenario was evaluated against an existing priority based scheduling mechanism via simulations. The results confirmed superiority of the proposed work in terms of energy cost, user comfort, and peak load reduction.

      • Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

        Farman, Haleem,Jan, Bilal,Talha, Muhammad,Zar, Abi,Javed, Huma,Khan, Murad,Din, Aziz Ud,Han, Kijun Hindawi Limited 2018 Complexity Vol.2018 No.-

        <P>Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives’ candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives’ ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.</P>

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