Eliminating Battery Replacement Throughout the Useful Life of IoT Devices with Limited-Capacity Batteries: Analysis and Design of a Zero Energy Air Interface

2021 ◽  
Author(s):  
Abdelrahman Taha ◽  
Hussain Elkotby ◽  
Tanbir Haque ◽  
Ravikumar Pragada ◽  
Douglas Castor
Keyword(s):  
Limited Capacity ◽  
Zero Energy ◽  
Analysis And Design ◽  
Air Interface ◽  
Useful Life ◽  
Iot Devices

scholarly journals Spectrum Management Schemes for Internet of Remote Things (IoRT) Devices in 5G Networks via GEO Satellite

2019 ◽  
Vol 11 (12) ◽  
pp. 257 ◽  
Author(s):  
Gbolahan Aiyetoro ◽  
Pius Owolawi
Keyword(s):  
Mobile Networks ◽  
Performance Metrics ◽  
Dynamic Scheduling ◽  
Spectrum Management ◽  
Satellite Networks ◽  
Network Access ◽  
5G Networks ◽  
New Paradigm ◽  
Air Interface ◽  
Iot Devices

The rapid growth of not just mobile devices but also Internet of Things (IoT) devices has introduced a new paradigm in mobile networks. This evolution and the continuous need to provide spectrum efficient, high data rates, low latency, and low energy consumption radio access networks have led to the emergence of fifth generation (5G) networks. Due to technical and economical limitations, the satellite air interface is expected to complement the 5G terrestrial air interface in the provision of 5G services including IoT communications. More importantly, it is on this premise that the 5G satellite air interface is expected to provide network access to IoT devices in rural and remote areas termed Internet of Remote Things (IoRT). While this remains an interesting solution, several radio resource management issues exist. One of them, spectrum management, in the 5G satellite as it affects IoRT communications, remains unclear. Hence, the aim of this paper is to investigate and recommend the spectrum management scheme that will be most suitable not only for Human-to-Human communications but also Machine-to-Machine communications in 5G satellite networks. In order to conduct this investigation, a new dynamic scheduling scheme that will be suitable for such a scenario is proposed in this paper. The investigation is conducted through simulations, using throughput, delay, spectral efficiency, and fairness index as the performance metrics.

IoT-Based Green Building

2020 ◽  
pp. 184-207
Author(s):  
Rachna Jain ◽  
Vaibhav Goel ◽  
Jusleen Kaur Rekhi ◽  
Jafar A. Alzubi
Keyword(s):  
Green Building ◽  
Green Buildings ◽  
Machine Learning Algorithms ◽  
Zero Energy ◽  
Building Management ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Insight Into ◽  
Building Management Systems ◽  
Zero Energy Buildings

Among the various domains of IoT, one domain that is highly emerging in recent years is the application of IoT in green buildings. With the advent of IoT, the concept of green buildings has taken an even broader perspective. Incorporating intelligence into the current building management systems could revolutionize the buildings in terms of energy efficiency. The chapter explores some sound benefits of integrating IoT into a green building. It offers insight into the various technologies used in green construction, followed by some IoT-based architectures. Some machine learning algorithms that can be used to boost the efficiency of IoT devices are also discussed. Finally, the chapter dives into the future of IoT-enabled green buildings, and explores the challenges in achieving zero-energy buildings, while addressing the questions it raises. It focuses on how a green building, together with the internet of things, may lead to zero-energy buildings, thus carving our path towards a secure and energy-efficient future.

scholarly journals Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks

2018 ◽  
Author(s):  
Dohyun Kwon ◽  
Sang-Wook Kim ◽  
Joongheon Kim ◽  
Aziz Mohaisen
Keyword(s):  
Wireless Networking ◽  
Alignment Algorithm ◽  
Distributed Coordination ◽  
Ieee 802.11Ax ◽  
Air Interface ◽  
Distributed Coordination Function ◽  
Iot Devices ◽  
Multiple Network ◽  
Coordination Function

The increased deployment of IoT devices in specific areas results in an interference among them and the quality of communications can be severely degraded. To deal with this interference issue, the IEEE 802.11ax standard has been established in hyper-densely wireless networking systems. The 802.11ax adopts a new candidate technology that is called multiple network allocation vector in order to mitigate the interference problem. In this paper, we point out potential problem in multiple network allocation vector which can cause delays to the communication among IoT devices in hyper-dense wireless networks. Furthermore, this paper introduces an adaptive beam alignment algorithm for interference issue resolution. In addition, we analyze potential delays of communications among IoT devices under interference conditions. Lastly, we simulate our proposed algorithm in densely deployed environment and show that the interference issue can be mitigated and the IEEE 802.11ax-based IoT devices can utilize the air interface more fairly compared to conventional IEEE 802.11 distributed coordination function.

scholarly journals Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3364 ◽  
Author(s):  
Dohyun Kwon ◽  
Sang-Wook Kim ◽  
Joongheon Kim ◽  
Aziz Mohaisen
Keyword(s):  
Internet Of Things ◽  
Alignment Algorithm ◽  
Distributed Coordination ◽  
Ieee 802.11Ax ◽  
Air Interface ◽  
Iot Devices ◽  
Multiple Network ◽  
Use Of Internet ◽  
Coordination Function

The increasing use of Internet of Things (IoT) devices in specific areas results in an interference among them and the quality of communications can be severely degraded. To deal with this interference issue, the IEEE 802.11ax standard has been established in hyper-dense wireless networking systems. The 802.11ax adopts a new candidate technology that is called multiple network allocation vector in order to mitigate the interference problem. In this paper, we point out a potential problem in multiple network allocation vector which can cause delays to communication among IoT devices in hyper-dense wireless networks. Furthermore, this paper introduces an adaptive beam alignment algorithm for interference resolution, and analyzes the potential delays of communications among IoT devices under interference conditions. Finally, we simulate our proposed algorithm in densely deployed environments and show that the interference can be mitigated and the IEEE 802.11ax-based IoT devices can utilize air interface more fairly compared to conventional IEEE 802.11 distributed coordination function.

Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices

2019 ◽  
Author(s):  
Teruo Higashino ◽  
Akira Uchiyama ◽  
Shunsuke Saruwatari ◽  
Hirozumi Yamaguchi ◽  
Takashi Watanabe
Keyword(s):  
Zero Energy ◽  
Context Recognition ◽  
Iot Devices

scholarly journals Analysis and Design of Broadband Simultaneous Wireless Information and Power Transfer (SWIPT) System Considering Rectifier Effect

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2387 ◽  
Author(s):  
Mehdi Shirichian ◽  
Somayyeh Chamaani ◽  
Alireza Akbarpour ◽  
Giovanni Del Galdo
Keyword(s):  
System Performance ◽  
Systems Design ◽  
Realistic Model ◽  
Power Delivery ◽  
Center Frequency ◽  
Power Transfer ◽  
Broadband Antennas ◽  
Analysis And Design ◽  
Iot Devices ◽  
Pareto Fronts

The deployment of internet of things (IOT) devices in several applications is limited by their need of having batteries as a power source. This has led many researchers to make efforts on simultaneous wireless information and power transfer (SWIPT) systems design. Increasing the bandwidth provides higher capacity; however, due to the narrowband response of conventional power transfer subsystems, power delivery is decreased. In order to design an optimum wideband SWIPT system, first, a realistic model of the system, including antennas and rectifier, should be developed. Then, proper methods to increase the bandwidth of subsystems for optimum power delivery can be proposed. In this paper, a wideband SWIPT system (300 MHz bandwidth at the center frequency of 1.44 GHz) while considering realistic limitations of antennas and rectifiers is designed. To optimize the system performance, a novel power allocation method is proposed. Using this algorithm, Pareto fronts of Shannon channel capacity versus power delivery in three scenarios (broadband antennas without considering rectifier, broadband antennas with narrowband rectifier and broadband antennas with broadband rectifier) are compared. The results show that, without considering the realistic behaviour of the subsystems, the performance is largely overestimated. Furthermore, this model allows for designers to optimize each subsystem directly and assess its effect on the overall SWIPT system performance.

Failure Analysis With the Scanning Electron Microscope

1972 ◽  
Vol 30 ◽  
pp. 482-483
Author(s):  
John R. Devaney
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
Integrated Circuits ◽  
Failure Analysis ◽  
High Reliability ◽  
Military Applications ◽  
Small Structure ◽  
Useful Life ◽  
Insight Into ◽  
Scanning Electron

Occasionally in history, an event may occur which has a profound influence on a technology. Such an event occurred when the scanning electron microscope became commercially available to industry in the mid 60's. Semiconductors were being increasingly used in high-reliability space and military applications both because of their small volume but, also, because of their inherent reliability. However, they did fail, both early in life and sometimes in middle or old age. Why they failed and how to prevent failure or prolong “useful life” was a worry which resulted in a blossoming of sophisticated failure analysis laboratories across the country. By 1966, the ability to build small structure integrated circuits was forging well ahead of techniques available to dissect and analyze these same failures. The arrival of the scanning electron microscope gave these analysts a new insight into failure mechanisms.

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