scholarly journals Thread/OpenThread: A Compromise in Low-Power Wireless Multihop Network Architecture for the Internet of Things

2019 ◽  
Vol 57 (7) ◽  
pp. 55-61 ◽  
Author(s):  
Hyung-Sin Kim ◽  
Sam Kumar ◽  
David E. Culler
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Network Architecture ◽  
The Internet ◽  
Multihop Network ◽  
The Internet Of Things ◽  
Wireless Multihop Network

scholarly journals Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Low Power ◽  
Energy Efficient ◽  
Wide Area ◽  
Wide Area Networks ◽  
The Internet ◽  
Extensive Review ◽  
Research Directions ◽  
The Internet Of Things

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

scholarly journals Worldwide Connectivity for the Internet of Things Through LoRaWAN

2019 ◽  
Vol 11 (3) ◽  
pp. 57 ◽  
Author(s):  
Lorenzo Vangelista ◽  
Marco Centenaro
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Cellular Network ◽  
Wide Area ◽  
The Internet ◽  
Area Network ◽  
Wide Area Network ◽  
Frequency Bands ◽  
The Moment ◽  
The Internet Of Things

The low-power wide-area network (LPWAN) paradigm is gradually gaining market acceptance. In particular, three prominent LPWAN technologies are emerging at the moment: LoRaWAN™ and SigFox™, which operate on unlicensed frequency bands, and NB-IoT, operating on licensed frequency bands. This paper deals with LoRaWAN™, and has the aim of describing a particularly interesting feature provided by the latest LoRaWAN™ specification—often neglected in the literature—i.e., the roaming capability between different operators of LoRaWAN™ networks, across the same country or even different countries. Recalling that LoRaWAN™ devices do not have a subscriber identification module (SIM) like cellular network terminals, at a first glance the implementation of roaming in LoRaWAN™ networks could seem intricate. The contribution of this paper consists in explaining the principles behind the implementation of a global LoRaWAN network, with particular focus on how to cope with the lack of the SIM in the architecture and how to realize roaming.

A Location Based Energy Proficient Path Routing for Internet of Things and Its Applications

2020 ◽  
pp. 6-10
Author(s):  
Arulanantham D ◽  
Pradeepkumar G ◽  
Palanisamy C ◽  
Dineshkumar Ponnusamy
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Network Architecture ◽  
Base Station ◽  
Consumer Electronics ◽  
The Internet ◽  
Energy Efficient Routing ◽  
The Internet Of Things

The Internet of Things (IoT) is an establishment with sensors, base station, gateway, and network servers. IoT is an efficient and intellectual system that minimizes human exertion as well as right to use to real devices. This method also has an autonomous control property by which any device can control without any human collaboration. IoT-based automation has become very reasonable and it has been applied in several sectors such as manufacturing, transport, health care, consumer electronics, etc. In WSN’s smaller energy consumption sensors are expected to run independently for long phases. So much ongoing researches on implementing routing protocols for IoTbased WSNs.Energy consciousness is an essential part of IoT based WSN design issue. Minimalizing Energy consumption is well-thought-out as one of the key principles in the Expansion of routing protocols for the Internet of things. In this paper, we propose a Location based Energy efficient path routing for Internet of things and its applications its sensor position and clustering based finding the shortest path and real time implementation of Arduino based wireless sensor network architecture with the ESP8266 module. Finally, analyze the principles of Location-based energy-efficient routing and performance of QoS parameters, and then implemented automatic gas leakage detection and managing system.

Low-power IPv6 for the Internet of Things

2012 ◽  
Author(s):  
Adam Dunkels ◽  
Joakim Eriksson ◽  
Niclas Finne ◽  
Fredrik Osterlind ◽  
Nicolas Tsiftes ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Incorporating IEEE 1609.2-2016 Standard with Internet of Things-Based Low Power WAVE Devices

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Yaarob Al-Nidawi ◽  
Mahmood Zaki Abdullah
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Wireless Access ◽  
The Internet ◽  
Power Devices ◽  
Internet Of Vehicles ◽  
Power Wave ◽  
The Impact ◽  
The Internet Of Things ◽  
Access Security

The integration of low-power devices in different aspects of life has increased the challenges of mitigating the impact of the heterogeneity of different related technologies. Accordingly, the Internet of Things context is an umbrella that diffuses different proprietary protocols into standardized forms to overcome the heterogeneity problem. The recent IEEE 1609.2-2016 standard is tackling the issue of wireless access security in the vehicular environment. An obstacle arose by which Internet of Things-based, low-power devices are integrated into the Internet of Vehicles cloud. In turn, the overhead of Internet of Vehicles-based protocols must be analyzed regarding the adaptability of low-power devices in the vehicular environment. This paper investigates the burden of the IEEE 1609.2 security stack on Internet of Things-based, limited-capability devices and defines the possible approaches to incorporate these low-power devices within the vehicular network under the IEEE 1609.2 standard. The proposed methodology, through the conducted simulations, demonstrates low security overhead with a 40% reduction in consumed energy over the default WAVE stack. In addition, the results show that including low-power devices within the Internet of Vehicles paradigm is possible, but still more enhancements and contributions are required to minimize the overhead of the WAVE security stack.

Security Model of Internet of Things Based on Binary Wavelet and Sparse Neural Network

2019 ◽  
Vol 10 (1) ◽  
pp. 1-17
Author(s):  
Zhihui Wang ◽  
Jingjing Yang ◽  
Benzhen Guo ◽  
Xiao Zhang
Keyword(s):  
Neural Network ◽  
Internet Of Things ◽  
Network Architecture ◽  
Safety Management ◽  
The Internet ◽  
Security Model ◽  
The Novel ◽  
Simulated Environment ◽  
Proposed Model ◽  
The Internet Of Things

At present, the internet of things has no standard system architecture. According to the requirements of universal sensing, reliable transmission, intelligent processing and the realization of human, human and the material, real-time communication between objects and things, the internet needs the open, hierarchical, extensible network architecture as the framework. The sensation equipment safe examination platform supports the platform through the open style scene examination to measure the equipment and provides the movement simulated environment, including each kind of movement and network environment and safety management center, turning on application gateway supports. It examines the knowledge library. Under this inspiration, this article proposes the novel security model based on the sparse neural network and wavelet analysis. The experiment indicates that the proposed model performs better compared with the other state-of-the-art algorithms.

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