Energy Autonomy in IoT Technologies

Gawali, Shubhangi K.; Deshmukh, M. K.

doi:10.1016/j.egypro.2018.11.132

Cited by 43 publications

(21 citation statements)

References 10 publications

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“…Moreover, if sensor nodes are to transmit directly to the cloud, the process will need a high bandwidth network and quickly dissipates sensor nodes' energy [19]. Some applications such as real-time streaming, health care data, realtime gaming, and augmented reality are too latency-sensitive to be deployed directly to the cloud.…”

Section: A the Significance Of The Routing Protocol For Wireless Senmentioning

confidence: 99%

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Abidoye¹,

Ochola²,

Obagbuwa³

et al. 2020

IJACSA

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Wireless sensor networks (WSNs) are one of the most essential technologies in the 21st century due to their increase in various application areas and can be deployed in areas where cable and power supply are difficult to use. However, sensor nodes that form these networks are energyconstrained because they are powered by non-rechargeable small batteries. Thus, it is imperative to design a routing protocol that is energy efficient and reliable to extend network lifetime utilization. In this article, we propose an improved ant colony optimization algorithm: a technique for extending wireless sensor networks lifetime utilization called AMACO. We present a new clustering method to avoid the overhead that is usually involved during the election of cluster heads in the previous approaches and energy holes within the network. Moreover, fog computing is integrated into the scheme due to its ability to optimize the limited power source of WSNs and to scale up to the requirements of the Internet of Things applications. All the data packets received by the fog nodes are transmitted to the cloud for further analysis and storage. An improved ant colony optimization (ACO) algorithm is used to construct optimal paths between the cluster heads and fog nodes for a reliable end-to-end data packets delivery. The simulation results show that the network lifetime in AMACO increased by 22.0%, 30.7%, and 32.0% in comparison with EBAR, IACO-MS, and RRDLA before the first node dies (FND) respectively. It increased by 15.2%, 18.4%, and 33.5% in comparison with EBAR, IACO-MS, and RRDLA before half nodes die (HND) respectively. Finally, it increased by 28.2%, 24.9%, and 58.9% in comparison with EBAR, IACO-MS, and RRDLA before the last node dies (LND) respectively.

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Section: A the Significance Of The Routing Protocol For Wireless Senmentioning

confidence: 99%

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Abidoye¹,

Ochola²,

Obagbuwa³

et al. 2020

IJACSA

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“…In 1999, Kevin Ashton developed the term "Internet of Things" (IoT) to describe a unique group of interoperable objects that connect with each other using radio-frequency identification (RFID) technology [14]. Today, IoT enables the internet to connect to sensors which are connected with various wireless devices, with the majority relying on IP-based communications.…”

Section: Iot In Healthcarementioning

confidence: 99%

Risk Assessment Framework of mHealth System Vulnerabilities: A Multilayer Analysis of the Patient Hub

Ali¹,

Wood–Harper²,

Alqahtani³

et al. 2020

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Although there have been remarkable technological developments in healthcare, the privacy and security of mobile health systems (mHealth) still raise many concerns with considerable consequences for patients using these technologies. For instance, potential security and privacy threats in wireless devices, such as Wi-Fi and Bluetooth connected to a patient hub at the application, middleware and sensory layers, may result in the disclosure of private and sensitive data. This paper explores the security and privacy of the patient hub, including patient applications and their connections to sensors and cloud technology. Addressing the privacy and security concerns of the patient hub called for a comprehensive risk assessment by using the OCTAVE risk assessment framework. Findings reveal that the highest risk concerned d at a exposure at the sensory layer. In spite of the countermeasures presented in this paper, most served as a means to identify risk early as opposed to mitigating them. The findings can serve to inform users of the potential vulnerabilities in the patient hub before they arise.

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“…This include [8][9][10][11]: sustainable water supply, city lighting and traffic monitoring, garbage management, citizens safety and crowdsensing, air standard and environment, smart parking, public transportation, etc. ; ▪ IoT in energy domain: The EIoT offers flexibility to adapt the new energy sources, improved management of both operations and assets, customer service orientation, the possibility of enabling new business models and services, reliability and security [12,13]; ▪…”

Section: Internet Of Things and Its Application Domainsmentioning

confidence: 99%

Advances in Education Through IoT

Ganea

Craciun

Aramă

et al. 2020

Ann_UGAL_Math_Phys_Mec

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Context: The education sector is the root of our society. Living in a fast changing environment, we need to keep pace by implementing new technologies and techniques. A widespread solution is the Internet of Things together with Cloud computing technologies. Both technologies offer sustainable solutions for improving the efficiency of learning and teaching. Thus, these IT solutions become the main aspect of our society by interconnecting heterogeneous devices and technologies in different aspects of life. Objective: This paper focuses on the Internet of Things' major technologies and applications with an orientation in the education sector. This overview can help scholars and academia to adopt and participate in the endeavor to streamline the receive-transmit process of education. Method: A systematic literature review was performed considering the main scientific databases. The number of the research paper was narrowed after the exclusion criteria were applied. Results: This paper underlines the importance of adopting both IoT and Cloud computing in teaching and learning activities. The evidence on the diversity of both IoT and Cloud computing applications are underline

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Energy Autonomy in IoT Technologies

Cited by 43 publications

References 10 publications

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Risk Assessment Framework of mHealth System Vulnerabilities: A Multilayer Analysis of the Patient Hub

Advances in Education Through IoT

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