An Efficient Spectrum Utilization Scheme for Energy-Constrained IoT Devices in Cellular Networks

2021 ◽  
pp. 1-1
Author(s):  
Danish Mehmood Mughal ◽  
Syed Tariq Shah ◽  
Min Young Chung
Keyword(s):  
Cellular Networks ◽  
Spectrum Utilization ◽  
Energy Constrained ◽  
Iot Devices ◽  
Utilization Scheme

UAV-Assisted Wireless Charging for Energy-Constrained IoT Devices Using Dynamic Matching

2020 ◽  
Vol 7 (6) ◽  
pp. 4789-4800 ◽  
Author(s):  
Chunxia Su ◽  
Fang Ye ◽  
Li-Chun Wang ◽  
Li Wang ◽  
Yuan Tian ◽  
...  
Keyword(s):  
Wireless Charging ◽  
Dynamic Matching ◽  
Energy Constrained ◽  
Iot Devices

scholarly journals Subcarrier-Sniffer：CSI-based Subcarrier-Level Spectrum Sensing Algorithm

2019 ◽  
Author(s):  
Zhenjiang Tan ◽  
Zheng Lu ◽  
Hongyu Sun
Keyword(s):  
Spectrum Sensing ◽  
Channel State Information ◽  
Spectrum Sharing ◽  
Smart Homes ◽  
Experimental Results ◽  
Spectrum Utilization ◽  
Channel State ◽  
State Information ◽  
Level Spectrum ◽  
Iot Devices

Abstract: As the massive deployment of the heterogeneous IoT devices in the coexisting environment such as smart homes，Traditional channel-based spectrum sharing algorithms such as CSMA has great limitations to further optimize spectrum utilization. Therefore, exploring more efficient spectrum sensing algorithm becomes hot topic these years. This paper proposes Subcarrier-Sniffer, which utilizes Channel State Information (CSI) to sense the subcarrier-level detailed status of the spectrum. In order to evaluate the performance of Subcarrier-Sniffer, we implemented Subcarrier-Sniffer by USRP B200min, and the experimental results show that when the distance between Subcarrier-Sniffer and the monitored devices is not great than 7 m, the accuracy of subcarrier-level spectrum sensing could achieve 100% in our settings.

scholarly journals Secure LoRa Firmware Update with Adaptive Data Rate Techniques

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2384
Author(s):  
Derek Heeger ◽  
Maeve Garigan ◽  
Eirini Eleni Tsiropoulou ◽  
Jim Plusquellic
Keyword(s):  
Data Rate ◽  
Maximum Speed ◽  
Area Network ◽  
Wide Area Network ◽  
Data Rates ◽  
Significant Burden ◽  
Embedded Algorithms ◽  
Energy Constrained ◽  
Iot Devices ◽  
Update Process

Internet of Things (IoT) devices rely upon remote firmware updates to fix bugs, update embedded algorithms, and make security enhancements. Remote firmware updates are a significant burden to wireless IoT devices that operate using low-power wide-area network (LPWAN) technologies due to slow data rates. One LPWAN technology, Long Range (LoRa), has the ability to increase the data rate at the expense of range and noise immunity. The optimization of communications for maximum speed is known as adaptive data rate (ADR) techniques, which can be applied to accelerate the firmware update process for any LoRa-enabled IoT device. In this paper, we investigate ADR techniques in an application that provides remote monitoring of cattle using small, battery-powered devices that transmit data on cattle location and health using LoRa. In addition to issues related to firmware update speed, there are significant concerns regarding reliability and security when updating firmware on mobile, energy-constrained devices. A malicious actor could attempt to steal the firmware to gain access to embedded algorithms or enable faulty behavior by injecting their own code into the device. A firmware update could be subverted due to cattle moving out of the LPWAN range or the device battery not being sufficiently charged to complete the update process. To address these concerns, we propose a secure and reliable firmware update process using ADR techniques that is applicable to any mobile or energy-constrained LoRa device. The proposed system is simulated and then implemented to evaluate its performance and security properties.

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