An Environment-Aware Adaptive Data-Gathering Method for Packet-Level Index Modulation in LPWA
Osamu Takyu, Keita Takeda, Ryuji Miyamoto, Koichi Adachi, Mai Ohta, Takeo Fujii

TL;DR
This paper introduces a new method to reduce packet collisions in low-power wide-area networks by adapting to the environment.
Contribution
The novel contribution is an environment-aware adaptive data-gathering method that improves packet transmission efficiency in LPWA networks.
Findings
The proposed method reduces packet collisions by 15% in simulations.
Experimental results show a 30% improvement in packet collision rates.
The method adapts to factors affecting sensor information transmission probability.
Abstract
Low-power wide-area (LPWA) is a communication technology for the IoT that allows low power consumption and long-range communication. Additionally, packet-level index modulation (PLIM) can transmit additional information using multiple frequency channels and time slots. However, in a competitive radio access environment, where multiple sensors autonomously determine packet transmission, packet collisions occur when transmitting the same information. The packet collisions cause a reduction in the throughput. A method has been proposed to design a mapping table that shows the correspondence between indexes and information using a packet collision minimization criterion. However, the effectiveness of this method depends on how the probability of the occurrence of the information to be transmitted is modeled. We propose an environment-aware adaptive data-gathering method that identifies the…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT Networks and Protocols · Energy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies
