Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer
Internet of Things (IoT) networks are mostly comprised of power-constrained devices, therefore the most important consideration in designing IoT applications, based on sensor networks is energy efficiency. Minor improvement in energy conservation methods can lead to a significant increase in the lif...
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doaj-10cd4b7dc51f43e5879613d0237d69232020-11-25T02:30:00ZengMDPI AGElectronics2079-92922020-03-01956456410.3390/electronics9040564Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction LayerRaees Khan0Adnan Noor Mian1Department of Computer Science, FAST—National University of Computer and Emerging Sciences, Lahore 54000, PakistanDepartment of Computer Science, Information Technology University (ITU)-Punjab, Lahore 54000, PakistanInternet of Things (IoT) networks are mostly comprised of power-constrained devices, therefore the most important consideration in designing IoT applications, based on sensor networks is energy efficiency. Minor improvement in energy conservation methods can lead to a significant increase in the lifetime of IoT devices and overall network. To achieve efficient utilisation of energy, different solutions are proposed such as duty cycling optimization, design changes at the MAC layer, etc. In this paper, we propose a new approach to overcome this challenge in cloud-based IoT sensing applications, based on integration of an abstraction layer with constrained application mechanism. To achieve energy conservation and efficient data management in IoT sensing applications, we incorporate modules of efficient web framework with cloud services, in order to minimize the number of round trips for data delivery and graph-based data representation. Our study is the first attempt in the literature, to the best of our knowledge, which introduces the potential of this integration for achieving the aforementioned objectives in the target applications. We implemented the proposed interfacing of abstraction layer in constrained applications, to develop a testbed using Z1 IoT motes, Contiki OS and GraphQL web framework with Google cloud services. Experimental comparisons against baseline REST architecture approach show that our proposed approach achieved significant reductions in data delivery delay and energy consumption (minimum 51.53% and 52.88%, respectively) in IoT applications involving sensor network.https://www.mdpi.com/2079-9292/9/4/564IoTGraphQLabstraction layersensing applicationsWSN |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Raees Khan Adnan Noor Mian |
spellingShingle |
Raees Khan Adnan Noor Mian Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer Electronics IoT GraphQL abstraction layer sensing applications WSN |
author_facet |
Raees Khan Adnan Noor Mian |
author_sort |
Raees Khan |
title |
Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer |
title_short |
Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer |
title_full |
Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer |
title_fullStr |
Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer |
title_full_unstemmed |
Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer |
title_sort |
sustainable iot sensing applications development through graphql-based abstraction layer |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2020-03-01 |
description |
Internet of Things (IoT) networks are mostly comprised of power-constrained devices, therefore the most important consideration in designing IoT applications, based on sensor networks is energy efficiency. Minor improvement in energy conservation methods can lead to a significant increase in the lifetime of IoT devices and overall network. To achieve efficient utilisation of energy, different solutions are proposed such as duty cycling optimization, design changes at the MAC layer, etc. In this paper, we propose a new approach to overcome this challenge in cloud-based IoT sensing applications, based on integration of an abstraction layer with constrained application mechanism. To achieve energy conservation and efficient data management in IoT sensing applications, we incorporate modules of efficient web framework with cloud services, in order to minimize the number of round trips for data delivery and graph-based data representation. Our study is the first attempt in the literature, to the best of our knowledge, which introduces the potential of this integration for achieving the aforementioned objectives in the target applications. We implemented the proposed interfacing of abstraction layer in constrained applications, to develop a testbed using Z1 IoT motes, Contiki OS and GraphQL web framework with Google cloud services. Experimental comparisons against baseline REST architecture approach show that our proposed approach achieved significant reductions in data delivery delay and energy consumption (minimum 51.53% and 52.88%, respectively) in IoT applications involving sensor network. |
topic |
IoT GraphQL abstraction layer sensing applications WSN |
url |
https://www.mdpi.com/2079-9292/9/4/564 |
work_keys_str_mv |
AT raeeskhan sustainableiotsensingapplicationsdevelopmentthroughgraphqlbasedabstractionlayer AT adnannoormian sustainableiotsensingapplicationsdevelopmentthroughgraphqlbasedabstractionlayer |
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1724830459114815488 |