scholarly journals Online QoS Modelling Untuk Cloud Menggunakan Teknologi WSN dan IoT Untuk Monitoring CO2 Secara Real-Time

2019 ◽  
Vol 5 (2) ◽  
pp. 91-96
Author(s):  
Nurul Fahmi ◽  
Rosmida Rosmida ◽  
Eko Prayitono

Wireless Sensor Networks (WSNs) is a technology developed to support one of the smart cities whose the aim is to monitor the environmental  conditions  CO2,  especially  regarding  data  collection  to  display  information  on  environmental  conditions continuously. However, the limitations of this application, it should be noted that the network meets the stringent requirements of the service quality, confidence and high reliability. The goal is strongly influenced by several factors such as environmental characteristics,  throughput,  and network topology.  In this paper, we implementation  using real hardware  where Arduino as microcontroller  and for the monitoring environmental  surrounding  we use temperature,  humidity and CO2 sensors. The data from sensor node will be send to server use IEEE 802.15.4 protocol to data collect and it will be saved to database MySQL. By use IoT technology, the data in the local database will be synchronized to the cloud by using internet access, the aim is so that users  can  be  monitor  environment  condition  by  real-time  using  website  or  smartphone.  In  this  context,  we  also  provide information  on  Quality  of  Service  (QoS)  management  to  assist  proficiently  for  monitoring  environmental  conditions  that oversee  network  performance.  The  proposed  solution  proved  to  be  a  very  useful  tool,  to  detect  and  clarify  potentially throughput and packet lost.

Author(s):  
Guijun Wang ◽  
Changzhou Wang ◽  
Haiqin Wang ◽  
Rodolfo A. Santiago ◽  
Jingwen Jin ◽  
...  

A key requirement in Service Level Management (SLM) is managing the Quality of Services (QoS) demanded by clients and offered by providers. This managing process is complicated by the globalization and Internet scale of enterprise services and their compositions. This chapter presents two contributions to the QoS management task for SLM. First, instead of considering monitoring as an isolated service, it incorporates a monitoring service as an integral part of a comprehensive QoS management framework for SLM. Second, it includes a diagnosis service as an integral part of the QoS management framework. Using the data fed from monitoring service, diagnosis service detects system condition changes and reasons about the causes of detected degradation in networked enterprise system. With condition detection and situation understanding, the QoS management framework can then proactively activate adaptation mechanisms to maximize the system’s ability to meet QoS contract requirements of concurrent clients. Using this framework, enterprise systems can provide real time automated QoS management to optimize system resources in meeting contract requirements. This approach is validated using QoS management services integrated in a publish/subscribe style of SOA. Benefits of QoS monitoring, diagnosis, and adaptation services for responsiveness SLM are demonstrated via experiments.


Drones ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 13 ◽  
Author(s):  
Saeed Alsamhi ◽  
Ou Ma ◽  
M. Ansari ◽  
Sachin Gupta

This paper studies the network performance of collaboration between the Internet of public safety things (IoPST) and drones. Drones play a vital role in delivering timely and essential wireless communication services for the recovery of services right after a disaster by increasing surge capacity for the purposes of public safety, exploring areas that are difficult to reach, and providing an area of rapid coverage and connectivity. To provide such critical facilities in the case of disasters and for the purposes of public safety, collaboration between drones and IoPST is able to support public safety requirements such as real-time analytics, real-time monitoring, and enhanced decision-making to help smart cities meet their public safety requirements. Therefore, the deployment of drone-based wireless communication can save people and ecosystems by helping public safety organizations face threats and manage crises in an efficient manner. The contribution of this work lies in improving the level of public safety in smart cities through collaborating between smart wearable devices and drone technology. Thus, the collaboration between drones and IoPST devices establishes a public safety network that shows satisfying results in terms of enhancing efficiency and information accuracy.


2020 ◽  
Vol 12 (13) ◽  
pp. 5324 ◽  
Author(s):  
Arabela Briciu ◽  
Victor-Alexandru Briciu ◽  
Androniki Kavoura

Global urbanization brings the urge to identify the most intelligent methods to cope with the challenges arising in the modern society. Sustainable and smart cities are the new target for urban development; their representatives are being forced to identify and develop new strategies to increase their city’s performance and ensure that it endures over time. Information and Communication Technology (ICT) contributes to this purpose. Brașov is one of the cities in Romania for which the process of modernization started years ago, and it is currently developing as a smart city. This paper focuses on the development of the city in terms of cultural tourism solutions by presenting a case study on the use of virtual reality with a mobile application and its evaluation on cultural heritage sites. The original contribution of the paper is to describe and analyze the quality of the mobile application by using a proposed analysis grid to identify the main elements of this app. The main findings suggest that the application may bring authenticity of experience through the lens of heritage preservation for further user engagement and participation in real-time, while suggestions are made for future enhancement. Implications are discussed for a) destination managers, b) for developers to improve the general quality of the mobile application in terms of design and features and to implement changes in the near future, and c) for visitors who engage in real-time and co-create experiences.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2994 ◽  
Author(s):  
Bhagya Silva ◽  
Murad Khan ◽  
Changsu Jung ◽  
Jihun Seo ◽  
Diyan Muhammad ◽  
...  

The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous devices, has pioneered the notion of smart city. Various components, i.e., smart transportation, smart community, smart healthcare, smart grid, etc. which are integrated within smart city architecture aims to enrich the quality of life (QoL) of urban citizens. However, real-time processing requirements and exponential data growth withhold smart city realization. Therefore, herein we propose a Big Data analytics (BDA)-embedded experimental architecture for smart cities. Two major aspects are served by the BDA-embedded smart city. Firstly, it facilitates exploitation of urban Big Data (UBD) in planning, designing, and maintaining smart cities. Secondly, it occupies BDA to manage and process voluminous UBD to enhance the quality of urban services. Three tiers of the proposed architecture are liable for data aggregation, real-time data management, and service provisioning. Moreover, offline and online data processing tasks are further expedited by integrating data normalizing and data filtering techniques to the proposed work. By analyzing authenticated datasets, we obtained the threshold values required for urban planning and city operation management. Performance metrics in terms of online and offline data processing for the proposed dual-node Hadoop cluster is obtained using aforementioned authentic datasets. Throughput and processing time analysis performed with regard to existing works guarantee the performance superiority of the proposed work. Hence, we can claim the applicability and reliability of implementing proposed BDA-embedded smart city architecture in the real world.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8363
Author(s):  
Muhammad Zubair Islam ◽  
Shahzad ◽  
Rashid Ali ◽  
Amir Haider ◽  
Hyungseok Kim

With the inclusion of tactile Internet (TI) in the industrial sector, we are at the doorstep of the tactile Industrial Internet of Things (IIoT). This provides the ability for the human operator to control and manipulate remote industrial environments in real-time. The TI use cases in IIoT demand a communication network, including ultra-low latency, ultra-high reliability, availability, and security. Additionally, the lack of the tactile IIoT testbed has made it more severe to investigate and improve the quality of services (QoS) for tactile IIoT applications. In this work, we propose a virtual testbed called IoTactileSim, that offers implementation, investigation, and management for QoS provisioning in tactile IIoT services. IoTactileSim utilizes a network emulator Mininet and robotic simulator CoppeliaSim to perform real-time haptic teleoperations in virtual and physical environments. It provides the real-time monitoring of the implemented technology parametric values, network impairments (delay, packet loss), and data flow between operator (master domain) and teleoperator (slave domain). Finally, we investigate the results of two tactile IIoT environments to prove the potential of the proposed IoTactileSim testbed.


Author(s):  
Guillermo Velázquez Romera ◽  
Andrés Monzón

Today, smart cities are presented as a solution to achieve a more sustainable urban development while increasing the quality of life of its citizens through the use of new technologies (Neirotti, 2013). Smart Mobility is based on innovative and sustainable ways to provide transport for the inhabitants of cities, enhancing the use of fuels or vehicle propulsion systems that respect the environment, supported by technological tools and a proactive behaviour of citizenship (Neirotti, 2013). In urban mobility, the purpose of the Smart Cities is to develop flexible systems for real-time information to support decision-making in the use and management of different transport modes, generating a positive impact, saving users time and improving efficiency and quality of service. In this context, several solution types are being introduced in the world’s cities. They enable the improvement of the abovementioned factors acting on the demand side resulting in more efficient journeys for individual travelers, and improved satisfaction with the service. (Skelley et Al., 2013) with a lower level of investment than that of infrastructure deployment or an increase in the level of service. One of the most extended solutions is the use of mobile apps for providing the user with contextualized -static and real time- transport information. The study is based on a survey carried out among users of public transport in Madrid under the European OPTICITES project of the 7th Research Framework Programme. The survey contained items on their transportation habits, their level of skills and technological capabilities, and their main expectations about the possibility of using a new application, the main desired capabilities and willingness to pay for use. The study results show the preferences of users of public transport capacity, static, real-time search and in-app services for a multimodal real-time application and willingness to pay for this service, all analyzed by different Slicers users. The results also establish the basis for an estimate of the usefulness of these applications for users of public transport.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3498


2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Abbas Alnazir ◽  
Rania A. Mokhtar ◽  
Hesham Alhumyani ◽  
Elmustafa Sayed Ali ◽  
Rashid A. Saeed ◽  
...  

The future directions and challenges for 6G-enabled wireless communication for IoT applications are mainly focused on quality of service (QoS). The selection criteria of mobility management (MM) protocol are mainly the total duration of the delay and packet loss rate during the MM procedure. This is called intelligent handover (IH) to designate a relay with a minimum delay. To solve the problem of handover, media access control (MAC) protocols are used to provide an intelligent protocol for QoS in real-time application in mobility. Moreover, changing the parameter to find the best protocol for mobile stations in WLAN is a good choice. This paper proposed a new QoS structure for the point coordination function that is based on a new intelligent enhanced distribution coordination function that suites with dynamic real-time applications and services. The paper addresses the distributed coordination function (DCF) with QoS-based intelligent mobility management in stations and other scenarios with enhanced distribution coordination function (EDCF) to find the result of throughput, retransmission attempts, delay, and data droop. In this paper, the remote topology comprises a few remote stations and one base station within the remote LAN. All remote stations are found that each station can distinguish a transmission from any other station, and there is portability within the proposed intelligent framework.


2013 ◽  
Vol 441 ◽  
pp. 963-969
Author(s):  
Yu Du ◽  
Ying Wei Yan

In converged networking, the evaluation of network performance is completed by analyzing the key performance indexes which can reflect the states of network from the point of user view and integrated results should be evaluated by user or quality of experiences. This paper proposes the algorithm for evaluation of network performance based on the fuzzy analytic hierarchy process that utilizes strategy data and key performance indexes to calculate the integrated results of evaluation. The result provides the necessary reference for the real-time monitoring of network.


2013 ◽  
pp. 1213-1231
Author(s):  
Guijun Wang ◽  
Changzhou Wang ◽  
Haiqin Wang ◽  
Rodolfo A. Santiago ◽  
Jingwen Jin ◽  
...  

A key requirement in Service Level Management (SLM) is managing the Quality of Services (QoS) demanded by clients and offered by providers. This managing process is complicated by the globalization and Internet scale of enterprise services and their compositions. This chapter presents two contributions to the QoS management task for SLM. First, instead of considering monitoring as an isolated service, it incorporates a monitoring service as an integral part of a comprehensive QoS management framework for SLM. Second, it includes a diagnosis service as an integral part of the QoS management framework. Using the data fed from monitoring service, diagnosis service detects system condition changes and reasons about the causes of detected degradation in networked enterprise system. With condition detection and situation understanding, the QoS management framework can then proactively activate adaptation mechanisms to maximize the system’s ability to meet QoS contract requirements of concurrent clients. Using this framework, enterprise systems can provide real time automated QoS management to optimize system resources in meeting contract requirements. This approach is validated using QoS management services integrated in a publish/subscribe style of SOA. Benefits of QoS monitoring, diagnosis, and adaptation services for responsiveness SLM are demonstrated via experiments.


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