Energy-Efficient Network Architecture for IoT Applications

Sarwesh, P.; Shet, N. Shekar V.; Chandrasekaran, K.

doi:10.1007/978-3-319-50758-3_5

Cited by 13 publications

(15 citation statements)

References 25 publications

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“…Currently, an energy efficient network architecture for IoT applications has been proposed [18]. The method is robust, however, to the best of our knowledge, the existing work has not taken the privacy in data placement into consideration.…”

Section: Related Workmentioning

confidence: 99%

“…Energy-efficient network architecture has been investigated for IoT applications [18], but it neglects the resource utilization of CDCs, access time and privacy for IoT data placement. With the observation above, it is still a challenge to realize IoT data placement to optimize the resource utilization, energy consumption and access time, while satisfying the privacy constraints.…”

Section: Introductionmentioning

confidence: 99%

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An IoT-Oriented data placement method with privacy preservation in cloud environment

et al. 2018

Journal of Network and Computer Applications

122

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An IoT-Oriented data placement method with privacy preservation in cloud environment

et al. 2018

Journal of Network and Computer Applications

122

View full text Add to dashboard Cite

show abstract

“…To address the energy needs in IoT, an energy-efficient network architecture was proposed. This architecture avoids the energy hole problem (uneven energy drainage) using sensor and relay nodes [26]. The Quark operating system (OS) was introduced for low power IoT devices, with very small energy buffers [27].…”

Section: Enhancing the Lifetime Of Devices-an Iot Perspectivementioning

confidence: 99%

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Memon

Saxena

Roy³

et al. 2019

Electronics

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The ever increasing proliferation of wireless objects and consistent connectivity demands are creating significant challenges for battery-constrained wireless devices. The vision of massive IoT, involving billions of smart objects to be connected to the cellular network, needs to address the problem of uninterrupted power consumption while taking advantage of emerging high-frequency 5G communications. The problem of limited battery power motivates us to utilize radio frequency (RF) signals as the energy source for battery-free communications in next-generation wireless networks. Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. Ambient BackCom (Amb-BackCom) is a type of BackCom that can harvest energy from nearby WiFi, TV, and cellular RF signals to modulate information. The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging wireless networks. We first highlight the energy constraint in existing wireless communications. We then investigate BackCom as a practical solution to the limited battery life problem. Subsequently, in order to take the advantages of omnipresent radio waves, we elaborate BackCom tag architecture and various types of BackCom. To understand encoding and data extraction, we demonstrate signal processing aspects that cover channel coding, interference, decoding, and signal detection schemes. Moreover, we also describe BackCom communication modes, modulation schemes, and multiple access techniques to accommodate maximum users with high throughput. Similarly, to mitigate the increased network energy, adequate data and power transfer schemes for BackCom are elaborated, in addition to reliability, security, and range extension. Finally, we highlight BackCom applications with existing research challenges and future directions for next-generation 5G wireless networks.

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“…With advances in Internet of Thing (IoT) applications and the expansion of mobile devices, energy consumption has become a primary focus of attention in integrated circuits design [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. While IoT applications cover a broad range of products from wearable devices, smart houses, automotive devices, smart meters to inspection tools and many others, more than 50% of the market is dominated by battery operated devices.…”

Section: Introductionmentioning

confidence: 99%

0.45 v and 18 μA/MHz MCU SOC with Advanced Adaptive Dynamic Voltage Control (ADVC)

Zangi¹,

Feldman²,

Hadas³

et al. 2018

JLPEA

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An ultra-low-power MicroController Unit System-on-Chip (MCU SOC) is described with integrated DC to DC power management and Adaptive Dynamic Voltage Control (ADVC) mechanism. The SOC, designed and fabricated in a 40 nm ULP standard CMOS technology, includes the complete Synopsys ARC EM5D core MCU, featuring a full set of DSP instructions and minimizing energy consumption at a wide range of frequencies: 312 K-80 MHz. A number of unique low voltage digital libraries, comprising of approximately 300 logic cells and sequential elements, were used for the MCU SOC design. On-die silicon sensors were utilized to continuously change the operating voltage to optimize power/performance for a given frequency and environmental conditions, and also to resolve yield and life time problems, while operating at low voltages. A First Fail (FFail) mechanism, which can be digitally and linearly controlled with up to 8 bits, detects the failing SOC voltage at a given frequency. The core operates between 0.45-1.1 V volts with a direct battery connection for an input voltage of 1.6-3.6 V. Measurement results show that the peak energy efficiency is 18µW/MHz. A comparison to state-of-the-art commercial SOCs is presented, showing a 3-5× improved current/DMIPS (Dhrystone Million Instructions per second) compared to the next best chip.

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Energy-Efficient Network Architecture for IoT Applications

Cited by 13 publications

References 25 publications

An IoT-Oriented data placement method with privacy preservation in cloud environment

An IoT-Oriented data placement method with privacy preservation in cloud environment

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

0.45 v and 18 μA/MHz MCU SOC with Advanced Adaptive Dynamic Voltage Control (ADVC)

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