GraphQL and DC-WSN-Based Cloud of Things

Rasool, Saqib; Khan, Raees; Mian, Adnan Noor

doi:10.1109/mitp.2018.2876982

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…The work presented in this paper is an extension of our previous study given in [26]. Previously, we used GraphQL for duty cycling-based sensor networks to optimise active time slots through round trips saving.…”

Section: Related Workmentioning

confidence: 98%

Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer

Khan

Mian

2020

Electronics

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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.

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Section: Related Workmentioning

confidence: 98%

Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer

Khan

Mian

2020

Electronics

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“…The current sensor network technologies and standards are inadequate for applications involving large-scale interaction and sensing. It is difficult to construct intelligent IoT applications on a wide scale because of this [ 14 ]. Implementing energy-efficient functions in battery-operated IoT platforms can prolong network life without requiring device replacement or battery recharging [ 15 ].…”

Section: Iot and Graphenementioning

confidence: 99%

Graphene-based nanotechnology in the Internet of Things: a mini review

Ganguly,

Sengupta

2024

Discover Nano

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Graphene, a 2D nanomaterial, has garnered significant attention in recent years due to its exceptional properties, offering immense potential for revolutionizing various technological applications. In the context of the Internet of Things (IoT), which demands seamless connectivity and efficient data processing, graphene's unique attributes have positioned it as a promising candidate to prevail over challenges and optimize IoT systems. This review paper aims to provide a brief sketch of the diverse applications of graphene in IoT, highlighting its contributions to sensors, communication systems, and energy storage devices. Additionally, it discusses potential challenges and prospects for the integration of graphene in the rapidly evolving IoT landscape.

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“…IoT and WoT can be characterised by the availability of the computational resources. The WoT devices are resource rich devices that can perform the CPU intensive tasks while the IoT devices are resource constrained devices and need special architectures and protocols for reducing the resource consumption [37]. We have also used different architectures for both IoT and WoT cameras.…”

Section: Wot Camera Vs Iot Camera and Ad-hoc Cloudmentioning

confidence: 99%

Docschain: Blockchain-Based IoT Solution for Verification of Degree Documents

Rasool

Saleem

Iqbal

et al. 2020

IEEE Trans. Comput. Soc. Syst.

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Degree verification is the process of verifying the academic credentials of successfully graduated students and universities annually spent millions of dollars for handling this process of degree verification. Hence, there is a dire need to minimize the degree verification cost and Massachusetts Institute of Technology has introduced the blockcerts, a blockchain based solution for freely handling the degree verification requests. Although Blockcerts eliminates the cost of degree verification but it also alters the existing workflow of degree issuance and verification. Blockerts is primarily focused on facilitating the students and there is a room for improvement from the prospective of educational institutes. Contribution of this paper is to introduce the solution of DocsChain which is focused on facilitating both students and education institutes by maintaining the existing social workflow of degree issuance and verification. In contrast to Blockcerts, DocsChain allows the educational institutes for bulk submission of multiple degree documents. For the verification, it operates over the photocopies of the degree documents and collect digital information from these copies using the OCR (Optical Character Recognition) enabled IoT/WoT cameras. Extracted digital information is then passed to a one-way hashing algorithm to collect the equivalent hash which is then used for searching from the DocsChain using the concept of PoE (Proof of Existence).

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GraphQL and DC-WSN-Based Cloud of Things

Cited by 8 publications

References 10 publications

Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer

Sustainable IoT Sensing Applications Development through GraphQL-Based Abstraction Layer

Graphene-based nanotechnology in the Internet of Things: a mini review

Docschain: Blockchain-Based IoT Solution for Verification of Degree Documents

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