Design of Scalable IoT Architecture Based on AWS for Smart Livestock

Dineva, Kristina; Atanasova, Tatiana

doi:10.3390/ani11092697

Cited by 34 publications

(14 citation statements)

References 27 publications

(18 reference statements)

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“…This rapid growth of population has sustained to in uence the upward call for animal food and also increased in uences of livestock farming systems on the biosphere during the last few decades. Moreover, the proper management of limited resources such as curtail manpower, required to reduce livestock involvement in greenhouse gases, water management, and minimize repetitive day-to-day livestock management activities are key challenges to overcome in livestock production [35]. The Internet of Things (IoT) is a most promising technique that provides various innovative solutions to modernize livestock farming.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

Vijay

Sharma

THAKUR

et al. 2023

Preprint

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The Internet of Things (IoT) has the potential to revolutionize the livestock farming industry by improving efficiency, reducing costs and increasing productivity. IoT plays an important role in providing innovative solutions to revolutionize the agriculture & farming sectors. Eminent researchers are constantly working to provide novel solutions and systems using IoT to address different challenges in the agriculture domain. The core application domains of IoT in agriculture are Livestock, Precision farming, and greenhouses that are further assembled into different domain monitoring applications, which assist the agriculturists and researchers to make better decisions. This paper explores the ways in which IoT can be implemented in livestock farming, including the use of sensor technology and automation. Additionally, the paper also discusses the challenges that must be overcome in order to fully realize the potential of IoT in the livestock farming industry. These challenges include the cost of implementation, lack of standardization in the industry, and the need for further research and development to address these issues. The paper concludes that while IoT has the potential to greatly benefit the livestock farming industry, overcoming these challenges.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

Vijay

Sharma

THAKUR

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…A wireless sensor network (WSN) is a broadly used research area for different applications, namely, health monitoring, military relevance, environmental observation, industry applications (Dineva and Atanasova, 2021) and so on. Generally, WSN comprises of various Elephant herd optimization 451 sensors (Kaushik and Gaundalkar, 2021), which are placed evenly and randomly to gather a data from an environment and broadcast data to the sink node.…”

Section: Introductionmentioning

confidence: 99%

Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

Sharad¹,

Desai²,

Krishnrao³

2022

IJPCC

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Purpose In a wireless sensor network (WSN), the sensor nodes are distributed in the network, and in general, they are linked through wireless intermediate to assemble physical data. The nodes drop their energy after a specific duration because they are battery-powered, which also reduces network lifetime. In addition, the routing process and cluster head (CH) selection process is the most significant one in WSN. Enhancing network lifetime through balancing path reliability is more challenging in WSN. This paper aims to devise a multihop routing technique with developed IIWEHO technique. Design/methodology/approach In this method, WSN nodes are simulated originally, and it is fed to the clustering process. Meanwhile, the CH is selected with low energy-based adaptive clustering model with hierarchy (LEACH) model. After CH selection, multipath routing is performed by developed improved invasive weed-based elephant herd optimization (IIWEHO) algorithm. In addition, the multipath routing is selected based on certain fitness functions like delay, energy, link quality and distance. However, the developed IIWEHO technique is the combination of IIWO method and EHO algorithm. Findings The performance of developed optimization method is estimated with different metrics, like distance, energy, delay and throughput and achieved improved performance for the proposed method. Originality/value This paper presents an effectual multihop routing method, named IIWEHO technique in WSN. The developed IIWEHO algorithm is newly devised by incorporating EHO and IIWO approaches. The fitness measures, which include intra- and inter-distance, delay, link quality, delay and consumption of energy, are considered in this model. The proposed model simulates the WSN nodes, and CH selection is done by the LEACH protocol. The suitable CH is chosen for transmitting data through base station from the source to destination. Here, the routing system is devised by a developed optimization technique. The selection of multipath routing is carried out using the developed IIWEHO technique. The developed optimization approach selects the multipath depending on various multi-objective functions.

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“…In the IoT framework, all nodes can communicate with each other or with a gateway through communication protocols. HTTP, CoAP, MQTT, AMQP, and DDS − are the most common IoT data protocols designed for different scenarios and usages in livestock farming. The IoT networks support machine-to-machine communication, machine–human communication, and human-to-machine communication .…”

Section: Role Of Emerging Technologies In Poultry Health Managementmentioning

confidence: 99%

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

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The rapid growth of human population and frequent changes in environmental conditions pose challenges in providing nutrient-rich food to the current population. The demand for poultry products is increasing exponentially as they are a good source of low-cost proteins. Ensuring the well-being of birds and delivering nutritious poultry products is essential for both current and future food security needs and sustainable agriculture. This article is motivated by the potential of emerging digital technologies in agriculture to provide innovative solutions to challenges faced by farmers, particularly in poultry farming. It aims to shed light on various issues encountered by farmers like diseases on poultry farms and offers valuable insights for researchers seeking to address these challenges using the advancements in digital technologies. Precision farming in poultry involves leveraging technologies such as the internet of things, artificial intelligence, and edge computing to enhance animal health management. A smart poultry farm maintains the farm environment and detects diseases at early stage in the chickens. The farm resources are utilized optimally in the smart poultry farm. This research work provides a systematic literature review of intelligent systems designed for (i) poultry birds' health and welfare management using technologies like the internet of things (IoT), artificial intelligence, cloud computing, and edge computing and (ii) early disease detection, estimation of weight, and feeding behavior of birds with the use of computer vision and vocalization analysis. This article also explores various sensors employed in the development of IoT infrastructure. It has been demonstrated in the literature that modern digital technologies automate the management operations of poultry farms. As a result, the farmer's income increases, and high-quality food products are available to people at low cost.

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Design of Scalable IoT Architecture Based on AWS for Smart Livestock

Cited by 34 publications

References 27 publications

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

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