Rethinking Sustainable Sensing in Agricultural Internet of Things: From Power Supply Perspective

Liu, Ye; Liu, Dong; Du, Bangsong; Liu, Ye; Han, Guangjie

doi:10.1109/mwc.004.2100426

Cited by 50 publications

(17 citation statements)

References 15 publications

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“…In these circumstances, it is required for IoT & technology providers to enhance the perceived value by determining the nancial return from IoT in order to diminish the perceived risk of adoption many farmers have. Also required to give more robust techniques, which are worked with farmer requirements and practices in order to gain acceptance and trust of IoT technologies [51,52,53].…”

Section: Revenue and Affordabilitymentioning

confidence: 99%

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

Vijay

Sharma

THAKUR

et al. 2023

Preprint

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The Internet of Things (IoT) has the potential to revolutionize the livestock farming industry by improving efficiency, reducing costs and increasing productivity. IoT plays an important role in providing innovative solutions to revolutionize the agriculture & farming sectors. Eminent researchers are constantly working to provide novel solutions and systems using IoT to address different challenges in the agriculture domain. The core application domains of IoT in agriculture are Livestock, Precision farming, and greenhouses that are further assembled into different domain monitoring applications, which assist the agriculturists and researchers to make better decisions. This paper explores the ways in which IoT can be implemented in livestock farming, including the use of sensor technology and automation. Additionally, the paper also discusses the challenges that must be overcome in order to fully realize the potential of IoT in the livestock farming industry. These challenges include the cost of implementation, lack of standardization in the industry, and the need for further research and development to address these issues. The paper concludes that while IoT has the potential to greatly benefit the livestock farming industry, overcoming these challenges.

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Section: Revenue and Affordabilitymentioning

confidence: 99%

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

Vijay

Sharma

THAKUR

et al. 2023

Preprint

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“…The full disconnection of WET from the fuelbased grid not only has a positive impact on the [4] Efficient WET PBs' deployment, efficient beamforming, enhanced RF-EH designs X X [10] Massive WET PBs' (devices') architecture & deployment, programmable medium, X X resource scheduling, distributed ledger technology [17] Security Blockchain, contract theory, lightweight consensus protocol X [11] Green IoT Ambient EH, WET, wired energy trading X [12] Green WET Ambient EH, green PBs deployment X X [13] Green WET Green PBs deployment, millimeter wave communications X [16] Efficient WET Concurrent ambient EH and WET to charge IoT devices X [14] Green WET Green PBs deployment, dynamic PBs-to-IoT devices association X X [5] Efficient WET Directional antennas, dynamic PBs-to-IoT devices association X [7] Efficient WET Trajectory planning of mobile PB X X [8] Efficient WET Trajectory planning of mobile PB, directional antennas X X [6] Efficient WET Optimal deployment of PBs, directional antennas X X [9] Efficient WET Trajectory optimization of a flying PB, intelligent reflective surface X X [15] Green WET Distributed green energy storage, nomadic WET X X This work Sustainable WET Green WET, secure energy transactions, gPBs's flexible deployment, X X X minimize the overall expenses, ubiquitous charging with minimum RF pollution environment but also encourages the use of selfsufficient PBs which can provide a ubiquitous charging service, as we discuss next.…”

Section: Disconnecting Wet From the Gridmentioning

confidence: 99%

“…As shown in Fig. 4, nomadic WET, which uses moving [6]- [8], [17], [21] and/or flying gPBs [9], [15], can provide further flexibility to meet the service requirements under severe weather/surrounding conditions and in zones with prohibited access. In such cases, gPBs can move/fly around to power up the IoT deployments, collect measurements, and return back once the mission has been completed.…”

Section: B Ubiquitous Wetmentioning

confidence: 99%

“…In [10], the authors discuss additional enhancements in WETenabled networks such as deploying radio stripes, rotor-equipped PBs, intelligent reflective surfaces aided WET, and ultra-low power receivers implementation. Furthermore, the integration of renewable sources into WET-enabled networks has been also proposed in the literature either to support the operation of the PBs [10]- [15] or to aid the WET service for reducing PBs' energy consumption [16]. Finally, recent works, such as [17], have identified security threats that can result in energy outages in WET-enabled networks and for that have proposed blockchain-based solutions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

Rosabal

López

Alves

et al. 2021

IEEE Internet Things J.

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Wireless energy transfer (WET) is emerging as an enabling green technology for Internet of Things (IoT) networks. WET allows the IoT devices to wirelessly recharge their batteries with energy from external sources such as dedicated radio frequency transmitters called power beacons (PBs). In this paper, we investigate the optimal deployment of PBs that guarantees a network-wide energy outage constraint. Optimal positions for the PBs are determined by maximizing the average incident power for the worst location in the service area since no information about the sensor deployment is provided. Such network planning guarantees the fairest harvesting performance for all the IoT devices. Numerical simulations evidence that our proposed optimization framework improves the energy supply reliability compared to benchmark schemes. Additionally, we show that although both, the number of deployed PBs and the number of antennas per PB, introduce performance improvements, the former has a dominant role. Finally, our proposal allows to extend the coverage area while keeping the total power budget fixed, which additionally reduces the level of electromagnetic radiation in the vicinity of PBs.

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“…The intelligent reflecting surface (IRS), as a promising wireless innovation with the development of microelecromechanical systems (MEMS) and metamaterial, has recently attracting much attention in wireless communications and Internet of Things (IoT) [1] and [2]. The IRSs are two-dimensional man-made surfaces with low-cost passive reflecting elements with adjustable phases that are connected to base station (BS)/access points (APs) through a smart controller.…”

Section: Introductionmentioning

confidence: 99%

Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems

Dong

et al. 2022

IEEE Commun. Lett.

Self Cite

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Intelligent reflecting surface (IRS) has recently appeared as a potential technology for 6G, and received much attention from academia and industry. However, most of existing works on IRS focus on how to compute the phase shift for performance enhancement, and the problem on how to obtain the computed phase shift at the IRS side is generally neglected. In this paper, we consider compressing the computed phase shift at the receiver side to the IRS through a bandwidth-limited feedback channel. In particular, we propose and investigate a novel attention mechanism named as global attention by exploiting the attention map over both spatial and channel dimensions. This allows us to to push the limit of phase shift feedback compression by utilizing the two-dimensional information, which is in sharp contrast to exiting works that only consider either the spatial or channel dimension. Besides, to cope with the problem of mismatched distribution of the phase shift, we introduce the generalized divisive normalization (GDN) layer and inverse generalized divisive normalization (IGDN) layer to the proposed global attention phase shift compression network (GAPSCN). Furthermore, due to practical constraints on the IRS, it is desirable to consider a simplified GAPSCN (S-GAPSCN), where a lightweight multi-scale simplified global attention module (MSSGAM) is proposed in the decoder located at the IRS side to compensate for the performance degradation due to the simplified structure. Simulation results show that the proposed GAPSCN is able to achieve a reconstruction accuracy close to 1 and performs much better than existing algorithms. The performance of the proposed S-GAPSCN can approach that of the GAPSCN but with a much lower computational load.

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Rethinking Sustainable Sensing in Agricultural Internet of Things: From Power Supply Perspective

Cited by 50 publications

References 15 publications

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

WITHDRAWN: Internet of Things in Livestock Farming: Implementation and Challenges

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems

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