Home Edge Computing Architecture for Smart and Sustainable Agriculture and Breeding

Babou, Cheikh Saliou Mbacke; Sane, Bernard Ousmane; Diane, Ibrahima; Niang, Ibrahima

doi:10.1145/3320326.3320377

Cited by 11 publications

(12 citation statements)

References 18 publications

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“…[ 56 ] proposed a model for efficient soil moisture monitoring. Other applications such as [ 53 , 57 , 58 , 71 , 79 , 80 , 81 ] are pointed out as multi domain applications. Weather Management: The authors of [ 82 ] proposed a remote farm monitoring system to monitor temperature, humidity, and soil moisture.…”

Section: Discussionmentioning

confidence: 99%

“…[ 56 ] proposed a model for efficient soil moisture monitoring. Other applications such as [ 53 , 57 , 58 , 71 , 79 , 80 , 81 ] are pointed out as multi domain applications.…”

Section: Discussionmentioning

confidence: 99%

“…Ref. [ 79 ] proposed Home Edge Computing architecture (HEC) for smart and sustainable agriculture and breeding. It is worth mentioning that, in all of the proposed and implemented architecture, the bottom layer is always sensors, whereas the top layer is Cloud centre or Cloud server.…”

Section: Discussionmentioning

confidence: 99%

“…First of all, we have grouped the components of architecture into Edge, Fog, and Cloud layers according to the existing models. Edge layer: We observed that, in most of the applications, sensors [ 55 , 58 , 61 , 63 , 64 , 67 , 69 , 79 , 81 , 98 ], actuators [ 67 , 82 , 85 , 97 ], or IoT devices [ 60 ] were used as a bottom layer. The most common sensors used in the applications are wearable sensors, environmental sensors such as temperature, humidity, light, soil moisture, pH, and satellite sensors [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

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A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani

Collier

2021

Sensors

101

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Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud–Fog–Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.

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Section: Discussionmentioning

confidence: 99%

“…[ 56 ] proposed a model for efficient soil moisture monitoring. Other applications such as [ 53 , 57 , 58 , 71 , 79 , 80 , 81 ] are pointed out as multi domain applications.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani

Collier

2021

Sensors

101

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“…The HEC Server inside the box will handle the customer's request. On this HEC server, if the request cannot be processed, the system will hierarchically transfer the request to the cloud (MEC Server or Cloud) [4], [5]. In addition to lightening the load of the MEC, HEC allows having micro-cells which can also help process latency-sensitive applications.…”

Section: Overview On Home Edge Computing a Home Edge Computing mentioning

confidence: 99%

Hierarchical Load Balancing and Clustering Technique for Home Edge Computing

et al. 2020

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The edge computing system attracts much more attention and is expected to satisfy ultra-low response time required by emerging IoT applications. Nevertheless, as there were problems on latency such as the emerging traffic requiring very sensitive delay, a new Edge Computing system architecture, namely Home Edge Computing (HEC) supporting these real-time applications has been proposed. HEC is a threelayer architecture made up of HEC servers, which are very close to users, Multi-access Edge Computing (MEC) servers and the central cloud. This paper proposes a solution to solve the problems of latency on HEC servers caused by their limited resources. The increase in the traffic rate creates a long queue on these servers, i.e., a raise in the processing time (delay) for requests. By leveraging, based on clustering and load balancing techniques, we propose a new technique called HEC-Clustering Balance. It allows us to distribute the requests hierarchically on the HEC clusters and another focus of the architecture to avoid congestion on a HEC server to reduce the latency. The results show that HEC-Clustering Balance is more efficient than baseline clustering and load balancing techniques. Thus, compared to the HEC architecture, we reduce the processing time on the HEC servers to 19% and 73% respectively on two experimental scenarios.

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Easing Construction of Smart Agriculture Applications Using Low Code Development Tools

Oteyo

Pupo

Zaman

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Home Edge Computing Architecture for Smart and Sustainable Agriculture and Breeding

Cited by 11 publications

References 18 publications

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Hierarchical Load Balancing and Clustering Technique for Home Edge Computing

Easing Construction of Smart Agriculture Applications Using Low Code Development Tools

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