An Integrated IoT Enabled On-Demand Grocery Shopping and Delivery Cloud System Using MTComm at the Edge

Sunny, S M Nahian Al; Liu, Xiaoqing; Shahriar, Rakib

doi:10.1109/edge.2019.00024

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…In an IoT scenario, edge computing provides computational power, secures access to the edge data, reduces latency for time-sensitive applications, supports performance in low-bandwidth environments and eases overall network congestion [ 25 ]. In this way, merging multiple end devices into a single module can significantly reduce the calculation amount of the end device, and edge computing can be implemented [ 6 , 7 , 13 , 14 , 15 , 16 , 17 , 18 ].…”

Section: Related Workmentioning

confidence: 99%

“…In past research, edge computing was implemented to ensure the reliability in local, and the communication latency reduced [ 6 , 7 , 13 , 14 , 15 , 16 , 17 , 18 ]. However, in these works of literature, most of them are assisted by an additional device server; this is an additional overhead to the hardware cost and should consider whether it is necessary, for example, Smart Farm, where communication of the network is poor.…”

Section: Related Workmentioning

confidence: 99%

“…However, it is not feasible for businesses to purchase all new devices and equipment for a transformation. Therefore, previous research [ 2 , 4 , 14 ] has used interfaces to receive instructions or collect user data to overcome the bottlenecks caused by traditional devices. Interfaces can maintain the communication (control) mode between the device and the controller, and the controller can receive control from a network request or instruction to take control of the traditional devices.…”

Section: Related Workmentioning

confidence: 99%

“…However, the huge amount of calculations involved in edge computing cannot be used in IoT devices with a low calculation capacity and storage space and large power consumption. Therefore, in a smart home, smart grid or smart city environment, the local device transmits data to the gateway via wireless communication, i.e., edge computing implemented through the computing capabilities of gateways [ 13 , 14 , 15 , 16 , 17 , 18 ]. In addition, the introduction of boundary computing into the IoT system increases the reliability of the IoT system.…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Off-Line Operation of Smart and Traditional Devices of IoT Services

Huang

2020

Sensors

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Recently, with the continuous evolution of information technology, various products such as Building Information, Internet of Things (IoT), Big Data, Cloud Computing and Machine Learning have been developed and have created a lifestyle change. A smart Internet of Things (IoT) system is formed by combining the communication capabilities of the internet with control, monitoring and identification services to integrate people, things and objects. However, in some IoT environments that have a weak signal, such as remote areas, warehouses or basements, the network may become unstable, meaning that the IoT system is unable to provide efficient services. This paper therefore presents a framework that ensures the reliability of IoT system services so that even if the IoT system cannot connect to the network, the system can provide the services offline. To avoid increasing the installation cost or replacing existing traditional devices with modern smart devices, this framework can also be used to control traditional devices. The system operation is convenient because users can operate all their smart and traditional devices under the IoT system through voice commands and/or a handheld microcontroller, thus reducing the manual operation of the user. The framework proposed in this paper can be applied to various smart scenarios, including smart warehouses, smart restaurants, smart homes, smart farms and smart factories, to improve people’s quality of life and convenience, and create a humane and comfortable smart living environment.

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