Internet of Things-Based Optimized Routing and Big Data Gathering System for Landslide Detection

Menon, Varun G.; Verma, Sandeep; Kaur, Satnam; Sehdev, Paramjit S.

doi:10.1089/big.2020.0279

Cited by 24 publications

(8 citation statements)

References 48 publications

(56 reference statements)

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“…The health monitoring systems usually monitor the patient’s activities continuously, preferably by using wearable sensors (Nath et al , 2021; Kumari et al , 2021; Menon et al , 2021). This is because wearable sensors are miniature, produce accurate and reliable results and can be carried by patients almost all the time in terms of smartwatches, smartphones, intelligent belts, etc.…”

Section: Related Workmentioning

confidence: 99%

A multi-sensor based emergency healthcare monitoring system integrating heart status, stress, and alcohol detections

Κaur

Verma

2023

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Purpose Ubiquitous health-care monitoring systems can provide continuous surveillance to a person using various sensors, including wearables and implantable and fabric-woven sensors. By assessing the state of many physiological characteristics of the patient’s body, continuous monitoring can assist in preparing for the impending emergency. To address this issue, this study aims to propose a health-care system that integrates the treatment of the impending heart, stress and alcohol emergencies. For this purpose, this study uses readings from sensors used for electrocardiography, heart rate, respiration rate, blood alcohol content percentage and blood pressure of a patient’s body. Design/methodology/approach For heart status, stress level and alcohol detection, the parametric values obtained from these sensors are preprocessed and further divided into four, five and six phases, respectively. A final integrated emergency stage is derived from the stages that were interpreted to examine at a person’s state of emergency. A thorough analysis of the proposed model is carried out using four classification techniques, including decision trees, support vector machines, k nearest neighbors and ensemble classifiers. For all of the aforementioned detections, four metrics are used to evaluate performance: classification accuracy, precision, recall and fmeasure. Findings Eventually, results are validated against the existing health-care systems. The empirical results received reveal that the proposed model outperforms the existing health-care models in the context of metrics above for different detections taken into consideration. Originality/value This study proposes a health-care system capable of performing data processing using wearable sensors. It is of great importance for real-time systems. This study assures the originality of the proposed system.

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Section: Related Workmentioning

confidence: 99%

A multi-sensor based emergency healthcare monitoring system integrating heart status, stress, and alcohol detections

Κaur

Verma

2023

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“…CH performs the task of data collection and aggregating it further to reduce the redundant information. Finally, it sends this information to data collecting sink which further send it for computational purpose 13–15 …”

Section: Introductionmentioning

confidence: 99%

“…Finally, it sends this information to data collecting sink which further send it for computational purpose. [13][14][15] A large magnitude of research is available in the literature that has focused on introducing optimization techniques for selecting the optimized CH. The crucial point that is learnt from these techniques is the use of fitness parameters to select the CH node.…”

Section: Introductionmentioning

confidence: 99%

Energy hole mitigation through optimized cluster head selection and strategic routing in Internet of Underwater Things

Gupta

Singh

2022

Int J Communication

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Summary Internet of Underwater Things (IoUT) comprises various resource‐constrained sensor nodes; therefore, the routing followed in acoustic medium underwater should be energy efficient to preserve their energies. Due to large area covered in the scenarios of underwater, the multi‐hop communication leads to energy hole problem. Therefore, Energy hole mitigation through Optimized Cluster Head (CH) selection and Strategic Routing (EOCSR) in IoUT is proposed in this paper. The proposed work not only optimizes CH selection using Tunicate Swarm Algorithm but also incorporates strategic routing to address energy hole problem. The simulation results show that EOCSR improves stability and lifetime of network by 16.8% and 17.7%, as compared with recently proposed Moth Flame Optimization‐based routing method.

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“…While doing so, the nodes placed near the sink, which act as relay nodes, are involved in forwarding the data packets to the closely located sink. 16,17 However, due to the extra burden of forwarding the data packets, the energy consumption of these relaying nodes shakes up and tends to devour their energy to the maximum possible level. This problem is termed a hot-spot problem.…”

Section: Introductionmentioning

confidence: 99%

“…When the network area is very large, such as in the application of forest fire detection or large agricultural field monitoring, the sensor nodes that are deployed inevitably communicate to the sink through multi‐hop. While doing so, the nodes placed near the sink, which act as relay nodes, are involved in forwarding the data packets to the closely located sink 16,17 . However, due to the extra burden of forwarding the data packets, the energy consumption of these relaying nodes shakes up and tends to devour their energy to the maximum possible level.…”

Section: Introductionmentioning

confidence: 99%

A novel optimized routing technique to mitigate hot‐spot problem (NORTH) for wireless sensor network‐based Internet of Things

Yadav

Poongoodi

2022

Int J Communication

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Summary Technological advancements in the area of the Internet of Things have fostered the development of multi‐hop architectures pertaining to applications seeking large network areas. However, while exploiting such applications, the sensor devices being used are made to communicate through multi‐hop routing techniques, burdening the relay nodes. Hence, it leads to a hot‐spot problem, as the nodes passing on the data, that is, relay nodes, consume their energy at a large magnitude. To solve this issue, in this paper, we propose a novel optimized routing technique to mitigate hot‐spot problem (NORTH) for wireless sensor network (WSN)‐based IoT. We employ the tunicate swarm algorithm (TSA) to optimize the cluster‐based routing, specifically the selection of cluster head (CH) of each cluster by using some novel parameters. These parameters include energy status, a distance of a node from the sink and other nodes, load balancing, node proximity, and average energy stock of the network. We investigate two network scenarios, that is, when a sink is placed inside the network and otherwise, to give an optimized solution for every case. Further, to mitigate the hot‐spot problem, the relay node is selected in a cluster with the same mechanism as CH, which performs the task of data forwarding. The simulation analysis of NORTH reveals the supremacy of the proposed work against the recently proposed algorithms, based on various performance metrics, namely, network longevity, stability duration, throughput, and the network's remaining energy.

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Internet of Things-Based Optimized Routing and Big Data Gathering System for Landslide Detection

Cited by 24 publications

References 48 publications

A multi-sensor based emergency healthcare monitoring system integrating heart status, stress, and alcohol detections

A multi-sensor based emergency healthcare monitoring system integrating heart status, stress, and alcohol detections

Energy hole mitigation through optimized cluster head selection and strategic routing in Internet of Underwater Things

A novel optimized routing technique to mitigate hot‐spot problem (NORTH) for wireless sensor network‐based Internet of Things

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