Internet of things-based energy-efficient optimized heuristic framework to monitor sportsperson’s health

2021 ◽  
pp. 1-14
Author(s):  
Cui Meng Yao ◽  
Parthasarathy Poovendran ◽  
S. Stewart Kirubakaran
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Energy Efficient ◽  
Survival Rates ◽  
Health And Safety ◽  
Current Medical Research ◽  
Performance Ratio ◽  
Accuracy Ratio ◽  
Fitness Tracking ◽  
Iot Devices

BACKGROUND: Recently, wearable technologies have gained attention in diverse applications of the medical platform to guarantee the health and safety of the sportsperson with the assistance of the Internet of things (IoT) device. The IoT device’s topology varies due to the shift in users’ orientation and accessibility, making it impossible to assign resources, and routing strategies have been considered the prominent factor in the current medical research. Further, for sportspersons with sudden cardiac arrests, hospital survival rates are low in which wearable IoT devices play a significant role. OBJECTIVE: In this paper, the energy efficient optimized heuristic framework (EEOHF) has been proposed and implemented on a wearable device of the sportsperson’s health monitoring system. METHOD: The monitoring system has been designed with cloud assistance to locate the nearest health centers during an emergency. The wearable sensor technologies have been used with an optimized energy-efficient algorithm that helps athletes monitor their health during physical workouts. The monitoring system has fitness tracking devices, in which health information is gathered, and workout logs are tracked using EEOHF. The proposed method is applied to evaluate and track the sportsperson’s fitness based on case study analysis. RESULTS: The simulation results have been analyzed, and the proposed EEOHF achieves a high accuracy ratio of 97.8%, a performance ratio of 95.3%, and less energy consumption of 9.4%, delay of 13.1%, and an average runtime of 98.2% when compared to other existing methods.

scholarly journals Adjusting Group Communication in Dense Internet of Things Networks with Heterogeneous Energy Sources

2019 ◽  
Author(s):  
Renato Mota ◽  
André Riker ◽  
Denis Rosário
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Group Communication ◽  
State Of The Art ◽  
Dynamic Control ◽  
Energy Resources ◽  
Extensive Evaluation ◽  
Message Loss ◽  
Loss Event ◽  
Iot Devices

Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and to disseminate data. In this sense, one of the main challenges in IoT environments is to dynamically manage communication characteristics of IoT devices to decrease congestion, traffic collisions, and excessive data collection, as well as to balance the use of energy resources. In this paper, we introduce an energy-efficient and reliable Self Adjusting group communication of dense IoT Network, called SADIN. It configures the communication settings to ensure a dynamic control of IoT devices considering a comprehensive set of aspects, i.e., traffic loss, event relevance, amount of nodes with renewable batteries, and the number of observers. Specifically, SADIN changes the communication interval, the number of data producers, the reliability level of the network. Extensive evaluation results show that SADIN improves system performance in terms of message loss, energy consumption, and reliability compared to state-of-the-art protocol.

Using Internet of Things application for Monitoring Photo-Voltaic Panel Based on Ask Sensors Cloud

2021 ◽  
pp. 3884-3896
Author(s):  
Mohammed Hassan Majhool, Haider Th. Salim Alrikabi, Mansour S. Farhan
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Energy Systems ◽  
Cost Effective ◽  
Modern Technology ◽  
Monitoring Systems ◽  
Solar Pv ◽  
Data Logger ◽  
System A ◽  
Iot Devices

Internet of Things (IOT) devices and monitoring systems are essential for the accurate, reliable, and proper functioning of photovoltaic (PV) solar energy systems. The data acquisition and monitoring system ensure adequate operation and ascertain system malfunctions before they become significant problems. The IOT integrates ordinary items using modern technology in the physical scope. It is all feasible to utility voltage, current, temperature, and humidity sensors. The current research focuses on developing a cost-effective, accessible, and steadfast data monitoring system. A microcontroller-based data logger is stored in a cloud. The data can be downloaded directly from the website using the IoT technique because photovoltaic (PV) panels are built-in faraway locations and humans cannot reach them. The suggested system demonstrates the online utilization of solar PV power.

Neighbor-Aware Energy-Efficient Monitoring System for Energy Harvesting Internet of Things

2019 ◽  
Vol 6 (3) ◽  
pp. 5745-5752 ◽  
Author(s):  
Haneul Ko ◽  
Sangheon Pack
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Monitoring System ◽  
Energy Efficient

scholarly journals Network Interaction Monitoring System with IoT Devices Connected

2021 ◽  
pp. 12-17
Author(s):  
Gleb Demyanov ◽  
◽  
Natalya Sadovnikova ◽  
Keyword(s):  
Information Technology ◽  
Internet Of Things ◽  
Monitoring System ◽  
Computer Network ◽  
External Environment ◽  
Social Processes ◽  
The Internet ◽  
Network Interaction ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things is a concept of a computer network of physical objects equipped with built-in technologies for interacting with each other or with the external environment, considering the organization of such networks as a phenomenon that can restructure economic and social processes, eliminating the need for human participation from part of actions and operations. IoT technology has had a significant impact on the development of information technology and other industries. According to Forbes, the Internet of Things market is expected to reach $520 billion in 2021, up from $235 billion in 2017, indicating a continued growth in demand for such devices in the future. Gartner Research also estimates that the number of devices connected to the Internet will reach 25 billion by 2021, up from 8.4 billion in 2017. Network with IoT devices connected is an indispensable prey for intruders. There are many ways to attack IoT devices. In this article, the authors have identified several methods of protection. Among them, network interaction monitoring through the analysis is highlighted. The paper also describes how to apply this method in practice.

scholarly journals Mobility-Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Dmitry Kozyrev ◽  
Aleksandr Ometov ◽  
Dmitri Moltchanov ◽  
Vladimir Rykov ◽  
Dmitry Efrosinin ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Power Efficiency ◽  
Base Stations ◽  
Mathematical Framework ◽  
Content Dissemination ◽  
Iot Devices ◽  
The Impact ◽  
New Infrastructure

Today, the number of interconnected Internet of Things (IoT) devices is growing tremendously followed by an increase in the density of cellular base stations. This trend has an adverse effect on the power efficiency of communication, since each new infrastructure node requires a significant amount of energy. Numerous enablers are already in place to offload the scarce cellular spectrum, thus allowing utilization of more energy-efficient short-range radio technologies for user content dissemination, such as moving relay stations and network-assisted direct connectivity. In this work, we contribute a new mathematical framework aimed at analyzing the impact of network offloading on the probabilistic characteristics related to the quality of service and thus helping relieve the energy burden on infrastructure network deployments.

scholarly journals IoT-based industrial automation systems

2020 ◽  
pp. 42-50
Author(s):  
Yevhen Mishchuk ◽  
Dmytro Mishchuk
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Banking Sector ◽  
Health And Safety ◽  
Time Data ◽  
Industrial Automation ◽  
System Architectures ◽  
Automation Systems ◽  
Iot Devices ◽  
Processing And Storage

"Internet of Things" approaches in comparison with classical industrial automation allow to create system architectures which appear more economical, flexible, productive and effective that is reached at the expense of communication and interaction with industrial devices of automation (industrial controllers), sensors. , actuators, drives, machine vision systems, video, robotic systems. The basis of the "Internet of Things" (IoT) is the technology of interaction of machines (M2M), when machines use mobile networks to exchange information with each other or transmit it to data processing and storage systems. M2M technology is effectively used in health and safety systems, in manufacturing, housing and communal services, energy, and the banking sector. The active development of IoT technology requires research and analysis of the mechanisms of their effective implementation in industry, in particular, construction, and the development of concepts of industrial automation and management, which will contain a set of rules defining appropriate control actions for each important set of events. real-time data reported by IoT devices.

scholarly journals ScalEdge: A framework for scalable edge computing in Internet of things–based smart systems

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110353
Author(s):  
Mohammad Babar ◽  
Muhammad Sohail Khan
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Computation Time ◽  
Edge Computing ◽  
Computation Offloading ◽  
Battery Life ◽  
Efficient Computation ◽  
Smart Systems ◽  
Iot Devices ◽  
Delay Tolerant

Edge computing brings down storage, computation, and communication services from the cloud server to the network edge, resulting in low latency and high availability. The Internet of things (IoT) devices are resource-constrained, unable to process compute-intensive tasks. The convergence of edge computing and IoT with computation offloading offers a feasible solution in terms of performance. Besides these, computation offload saves energy, reduces computation time, and extends the battery life of resource constrain IoT devices. However, edge computing faces the scalability problem, when IoT devices in large numbers approach edge for computation offloading requests. This research article presents a three-tier energy-efficient framework to address the scalability issue in edge computing. We introduced an energy-efficient recursive clustering technique at the IoT layer that prioritizes the tasks based on weight. Each selected task with the highest weight value offloads to the edge server for execution. A lightweight client–server architecture affirms to reduce the computation offloading overhead. The proposed energy-efficient framework for IoT algorithm makes efficient computation offload decisions while considering energy and latency constraints. The energy-efficient framework minimizes the energy consumption of IoT devices, decreases computation time and computation overhead, and scales the edge server. Numerical results show that the proposed framework satisfies the quality of service requirements of both delay-sensitive and delay-tolerant applications by minimizing energy and increasing the lifetime of devices.

scholarly journals Lightweight Secure MQTT for Mobility Enabled e-health Internet of Things

2021 ◽  
Author(s):  
Adil Bashir ◽  
Ajaz Hussain Mir
Keyword(s):  
Internet Of Things ◽  
Health System ◽  
Assisted Living ◽  
Energy Efficient ◽  
Smart Cities ◽  
Transport Layer ◽  
Energy Utilization ◽  
Future Research ◽  
Security Services ◽  
Iot Devices

Internet of Things (IoT) is a smart interconnection of miniature sensors, enabling association of large number of smart objects ranging from assisted living and e-health to smart cities. IoT devices are equipped with limited resources in terms of power, memory and processing capabilities, therefore, presenting novel challenges to security. The purpose of this paper is to design energy efficient security mechanism for IoT based e-health system in which medical data is encrypted using lightweight cryptographic operations. The proposed scheme provides end-to-end data confidentiality for mobility enabled e-health IoT system. Our security scheme is simple and can be computed quickly on scarce resourced motes while providing required security services. Further, the mobility of patients is managed securely without the need of frequent reconfigurations during their movement within hospital/home premises. The evaluation results demonstrate that the proposed scheme reduces energy utilization to 17.84% and increases longevity of motes by 5.6 times compared to Certificate-Based Datagram Transport Layer Security (CB-DTLS). Energy consumption in configuration handover during mobility is handled by resource-rich devices, which make this scheme efficient in managing mobility of sensors. This work can be used as a basis for future research on securing patient data in an e-health system using energy efficient cryptographic operations.

Energy-Efficient Transaction Serialization for IoT Devices

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Daniel Evans
Keyword(s):  
Data Structure ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Minimal Processing ◽  
Processor Time ◽  
Loss Of Information ◽  
Xml Document ◽  
Dynamic Storage ◽  
Iot Devices ◽  
Performance Comparisons

Two designs, the Transaction Serial Format (TSF) and the Transaction Array Model (TAM), are presented. Together, they provide full, efficient, transaction serialization facilities for devices with limited onboard energy, such as those in an Internet of Things (IoT) network. TSF provides a compact, non-parsed, format for transactions, which can be deserialized with minimal processing. TAM provides an internal data structure, that can be constructed with minimal dynamic storage directly using the elements of TSF. TSF is built from simple lexical units that do not require parsing to be extracted from a serialized transaction. The lexical units contain enough information to efficiently allocate the internal TAM data structure. TSF generality is shown by exhibiting its equivalence to XML and JSON. The TSF representation of any XML document or JSON object can be serialized and deserialized without loss of information, including whitespace. The XML equivalence provides a foundation for the performance comparisons. TSF efficiency is shown by comparing the performance of reference implementations of TSF and TAM, written in C, to the performance of the popular Expat XML library, also written in C. TSF deserialization is shown to reduce processor time by more than 80%, demonstrating the efficiency of the design.

Energy-Efficient System Design for Internet of Things (IoT) Devices

2019 ◽  
pp. 49-74
Author(s):  
Neeta Singh ◽  
Sachin Kumar ◽  
Binod Kumar Kanaujia ◽  
Hyun Chul Choi ◽  
Kang Wook Kim
Keyword(s):  
Internet Of Things ◽  
System Design ◽  
Energy Efficient ◽  
Efficient System ◽  
Iot Devices
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