LoRa Backscatter Network Efficient Data Transmission Using RF Source Range Control
Source abstract
Abstract
Networks based on backscatter communication provide wireless data transmission in the absence of a power source. A backscatter device receives a radio frequency (RF) source and creates a backscattered signal that delivers data; this enables new services in battery-less domains with massive Internet-of-Things (IoT) devices. Connectivity is highly energy-efficient in the context of massive IoT applications. Outdoors, long-range (LoRa) backscattering facilitates large IoT services. A backscatter network guarantees timeslot-and contention-based transmission. Timeslot-based transmission ensures data transmission, but is not scalable to different numbers of transmission devices. If contention-based transmission is used, collisions are unavoidable. To reduce collisions and increase transmission efficiency, the number of devices transmitting data must be controlled. To control device activation, the RF source range can be modulated by adjusting the RF source power during LoRa backscatter. This reduces the number of transmitting devices, and thus collisions and retransmission, thereby improving transmission efficiency. We performed extensive simulations to evaluate the performance of our method.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Energy Harvesting in Wireless Networks · IoT Networks and Protocols · Opportunistic and Delay-Tolerant Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (21)
Show source-provided references
1. Ultra-low-power wide range backscatter communication using cellular generated carrier
2. Next generation backscatter communication: Systems, techniques, and applications10.1186/s13638-019-1391-7 ↗
3. 6G green IoT networks: Joint design of intelligent reflective surface and ambient backscatter communication
4. An efficient markov chain based channel model for 6G enabled massive internet of things
5. A distributed fog-based access control architecture for IoT
6. Wirelessly powered backscatter communication networks: Modeling, coverage and capacity10.1109/TWC.2017.2665629 ↗
7. Maximizing information transmission for energy harvesting sensor networks by an uneven clustering protocol and energy management
8. An overview on backscatter communications10.23919/JCIN.2019.8917868 ↗
9. LoRa backscatter: Enabling the vision of ubiquitous connectivity
10. Wireless powered communication networks assisted by backscatter communication10.1109/ACCESS.2017.2677521 ↗
11. Transmission power control with the guaranteed communication reliability in WSN10.1155/2015/632590 ↗
12. LoRa alliance long range wide area network (LoRaWAN) specification
13. A combined network control approach for the edge cloud and LPWAN-based IoT services10.1002/cpe.4406 ↗
14. Deep learning in mobile and wireless networking: A survey10.1109/COMST.2019.2904897 ↗
15. Network-aided intelligent traffic steering in 5G mobile networks10.32604/cmc.2020.011253 ↗
16. Traffic management in the mobile edge cloud to improve the quality of experience of mobile video10.1016/j.comcom.2017.09.001 ↗
17. Application Note AN1200.22 · 2015
18. MacDougall · Simulating Computer Systems, Techniques and Tool · 1987
19. Ross · Probability Models for Computer Science · 2001
20. Trivedi · Probability and Statistics with Reliability, Queuing and Computer Science Applications · 2002
21. Dual-channel medium access control of low power wide area networks considering traffic characteristics in IoE10.1007/s10586-017-1023-0 ↗