Energy Efficiency Characterization in Heterogeneous IoT System With UAV Swarms Based on Wireless Power Transfer

Yao, Yuanyuan; Zhu, Zhengyu; Huang, Sai; Yue, Xinwei; Pan, Chunyu; Li, Xuehua

doi:10.1109/access.2019.2961977

Cited by 25 publications

(19 citation statements)

References 38 publications

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“…In order to have an estimation of the device lifetime for a given battery capacity, network configuration, and transmission frequency, we need to understand the power consumption of an IoT device during (1) initial turn-on, (2) connected state, (3) re-transmission and (4) sleep/listen state. To the best of our knowledge, literature research is more focused on optimizing energy efficiency through different scheduling sachems, which is not on solving the cause [4,5,[10][11][12]23,24]. Instead, this work is based on empirical evaluation of real deployments, which shed light on the relation between power consumption and spectrum management in congested IoT environment.…”

Section: Related Workmentioning

confidence: 99%

Spectrum Based Power Management for Congested IoT Networks

Besher

Hipólito

Buenrostro-Mariscal

2021

Sensors

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With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.

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Section: Related Workmentioning

confidence: 99%

Spectrum Based Power Management for Congested IoT Networks

Besher

Hipólito

Buenrostro-Mariscal

2021

Sensors

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“…The existing review articles on UAVs predominantly focus on their applications, majorly related to the IoT sector [61]- [65].…”

Section: Existing Surveysmentioning

confidence: 99%

A Review on UAV Wireless Charging: Fundamentals, Applications, Charging Techniques and Standards

2021

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Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for applications such as inspections, delivery, agriculture, surveillance, and many more. It is estimated that, by 2040, UAVs/drones will become a mainstream delivery channel to satisfy the growing demand for parcel delivery. Though the UAVs are gaining interest in civil applications, the future of UAV charging is facing a set of vital concerns and open research challenges. Considering the case of parcel delivery, handling countless drones and their charging will become complex and laborious. The need for non-contact based multi-device charging techniques will be crucial in saving time and human resources. To efficiently address this issue, Wireless Power Transmission (WPT) for UAVs is a promising technology for multi-drone charging and autonomous handling of multiple devices. In the literature of the past five years, limited surveys were conducted for wireless UAV charging. Moreover, vital problems such as coil weight constraints, comparison between existing charging techniques, shielding methods and many other key issues are not addressed. This motivates the author in conducting this review for addressing the crucial aspects of wireless UAV charging. Furthermore, this review provides a comprehensive comparative study on wireless charging's technical aspects conducted by prominent research laboratories, universities, and industries. The paper also discusses UAVs' history, UAVs structure, categories of UAVs, mathematical formulation of coil and WPT standards for safer operation.

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“…Numerous applications for multiple access WPT have been presented in the literature as we make progress towards achieving the goal of omnipresent wireless power. Examples of SIMO WPT systems include a universal contactless battery charging platform for multiple electronic devices [12], WPT for robot swarms performing various tasks in an automated environment [7] [13] [14], and WPT for unmanned aerial vehicles (UAVs) [15]. MISO systems have multiple transmitters powering a single receiver and are usually employed to improve the range, efficiency, areal coverage, and other performance factors of WPT systems.…”

Section: A Current State Of the Artmentioning

confidence: 99%

A Framework for Code Division Multiple Access Wireless Power Transfer

Sarin¹,

Avestruz

2021

IEEE Access

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The availability of energy is one of the major hindrances to unlocking the massive potential of electronic devices. Powering a highly connected network of devices requires multiple access and a wireless power transfer (WPT) solution that is scalable and capable of maintaining a constant power flow regardless of reconfiguration (mutability) and electromagnetic environment (power flow selectivity). In this paper, we present a framework for the implementation of code division multiple access wireless power transfer (CDMA-WPT) for enabling WPT among multiple transmitters and multiple receivers simultaneously. CDMA-WPT maintains power flow selectivity and is easily scalable. An inverter/rectifier topology is presented for the hardware implementation of CDMA-WPT. A design process for practical co-design of high-performance hardware and obtaining a code set is also presented. We demonstrate the hardware implementation of CDMA-WPT using two transmitters and two receivers maintaining a nearly constant 5 W operation with nearly 75 % dc-dc efficiency, and four transmitters and four receivers maintaining a constant 4 W operating with greater than 70 % dc-dc efficiency. . This paper is accompanied by a video hardware demonstration in real-time the difference between using orthogonal codes in CDMA versus conventional single-frequency WPT using 4 transmitter-receiver pairs; conventional single-frequency WPT shows up to a 100 % deviation from the intended transfer power as opposed to 8.1 % for orthogonal codes in CDMA.INDEX TERMS Wireless power transfer (WPT), code division multiple access (CDMA), current-mode class-D (CMCD), internet of things (IoT), power amplifier, high-efficiency, resonant converter.

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Energy Efficiency Characterization in Heterogeneous IoT System With UAV Swarms Based on Wireless Power Transfer

Cited by 25 publications

References 38 publications

Spectrum Based Power Management for Congested IoT Networks

Spectrum Based Power Management for Congested IoT Networks

A Review on UAV Wireless Charging: Fundamentals, Applications, Charging Techniques and Standards

A Framework for Code Division Multiple Access Wireless Power Transfer

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