Methodology for Data Processing in Modular IoT System

Dineva, Kristina; Atanasova, Tatiana

doi:10.1007/978-3-030-36614-8_35

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…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. However, individual network behaviors have various challenges during the development of sensor network (Dineva and Atanasova, 2019), which has restricted hardware resources, battery capacity, variable environment and random exploitation. Thus, modern developments in WSN direct to several new protocols, particularly for a sensor network in which awareness of energy is a most important concern.…”

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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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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“…Temperature, humidity, and noise levels are measured by the system from within the hive. To track activity at the beehive entrance and monitor bee activity, a camera is put on the outside of the hive [37]. Algorithms analyze all this data to notify the beekeeper about the hive's health.…”

Section: Iot Monitoring Systemmentioning

confidence: 99%

“…Prediction of honey output is necessary not just for beginners but also for professional beekeepers or researchers, particularly during months when bees must be relocated owing to declining food supplies. The use of IoT technology and machine learning in honey production has allowed beekeepers and other researchers to integrate wireless sensors within beehives, allowing them to regulate the optimal conditions that promote honey production [37]. Table 1 shows the summary of advantages and limitations on honey production.…”

Section: Review In Honey Productionmentioning

confidence: 99%

A review on internet of things-based stingless bee's honey production with image detection framework

Rohafauzi,

Kassim,

Ja’afar

et al. 2024

IJECE

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Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.

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Architectural ML Framework for IoT Services Delivery Based on Microservices

Dineva

Atanasova

2020

Distributed Computer and Communication Networks

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Methodology for Data Processing in Modular IoT System

Cited by 7 publications

References 7 publications

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

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

A review on internet of things-based stingless bee's honey production with image detection framework

Architectural ML Framework for IoT Services Delivery Based on Microservices

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