IEICE TRANSACTIONS on Communications
Data Gathering Method with High Accuracy of Environment Recognition Using Mathematical Optimization in Packet-Level Index Modulation
Summary :
With the rapid developments in the Internet of Things (IoT), low power wide area networks (LPWAN) framework, which is a low-power, long-distance communication method, is attracting attention. However, in LPWAN, the access time is limited by Duty Cycle (DC) to avoid mutual interference. Packet-level index modulation (PLIM) is a modulation scheme that uses a combination of the transmission time and frequency channel of a packet as an index, enabling throughput expansion even under DC constraints. The indexes used in PLIM are transmitted according to the mapping. However, when many sensors access the same index, packet collisions occur owing to selecting the same index. Therefore, we propose a mapping design for PLIM using mathematical optimization. The mapping was designed and modeled as a quadratic integer programming problem. The results of the computer simulation evaluations were used to realize the design of PLIM, which achieved excellent sensor information aggregation in terms of environmental monitoring accuracy.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E106-B No.12 pp.1337-1349
- Publication Date
- 2023/12/01
- Publicized
- 2023/07/27
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2023CEP0009
- Type of Manuscript
- Special Section PAPER (Special Section on Emerging Communication Technologies in Conjunction with Main Topics of ICETC 2022)
- Category
Authors
Ryuji MIYAMOTO
Shinshu Univ.
Osamu TAKYU
Shinshu Univ.
Hiroshi FUJIWARA
Shinshu Univ.
Koichi ADACHI
Univ. of Electro-Communications
Mai OHTA
Fukuoka University
Takeo FUJII
Univ. of Electro-Communications
Keyword
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Ryuji MIYAMOTO, Osamu TAKYU, Hiroshi FUJIWARA, Koichi ADACHI, Mai OHTA, Takeo FUJII, "Data Gathering Method with High Accuracy of Environment Recognition Using Mathematical Optimization in Packet-Level Index Modulation" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 12, pp. 1337-1349, December 2023, doi: 10.1587/transcom.2023CEP0009.
Abstract: With the rapid developments in the Internet of Things (IoT), low power wide area networks (LPWAN) framework, which is a low-power, long-distance communication method, is attracting attention. However, in LPWAN, the access time is limited by Duty Cycle (DC) to avoid mutual interference. Packet-level index modulation (PLIM) is a modulation scheme that uses a combination of the transmission time and frequency channel of a packet as an index, enabling throughput expansion even under DC constraints. The indexes used in PLIM are transmitted according to the mapping. However, when many sensors access the same index, packet collisions occur owing to selecting the same index. Therefore, we propose a mapping design for PLIM using mathematical optimization. The mapping was designed and modeled as a quadratic integer programming problem. The results of the computer simulation evaluations were used to realize the design of PLIM, which achieved excellent sensor information aggregation in terms of environmental monitoring accuracy.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023CEP0009/_p
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@ARTICLE{e106-b_12_1337,
author={Ryuji MIYAMOTO, Osamu TAKYU, Hiroshi FUJIWARA, Koichi ADACHI, Mai OHTA, Takeo FUJII, },
journal={IEICE TRANSACTIONS on Communications},
title={Data Gathering Method with High Accuracy of Environment Recognition Using Mathematical Optimization in Packet-Level Index Modulation},
year={2023},
volume={E106-B},
number={12},
pages={1337-1349},
abstract={With the rapid developments in the Internet of Things (IoT), low power wide area networks (LPWAN) framework, which is a low-power, long-distance communication method, is attracting attention. However, in LPWAN, the access time is limited by Duty Cycle (DC) to avoid mutual interference. Packet-level index modulation (PLIM) is a modulation scheme that uses a combination of the transmission time and frequency channel of a packet as an index, enabling throughput expansion even under DC constraints. The indexes used in PLIM are transmitted according to the mapping. However, when many sensors access the same index, packet collisions occur owing to selecting the same index. Therefore, we propose a mapping design for PLIM using mathematical optimization. The mapping was designed and modeled as a quadratic integer programming problem. The results of the computer simulation evaluations were used to realize the design of PLIM, which achieved excellent sensor information aggregation in terms of environmental monitoring accuracy.},
keywords={},
doi={10.1587/transcom.2023CEP0009},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Data Gathering Method with High Accuracy of Environment Recognition Using Mathematical Optimization in Packet-Level Index Modulation
T2 - IEICE TRANSACTIONS on Communications
SP - 1337
EP - 1349
AU - Ryuji MIYAMOTO
AU - Osamu TAKYU
AU - Hiroshi FUJIWARA
AU - Koichi ADACHI
AU - Mai OHTA
AU - Takeo FUJII
PY - 2023
DO - 10.1587/transcom.2023CEP0009
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2023
AB - With the rapid developments in the Internet of Things (IoT), low power wide area networks (LPWAN) framework, which is a low-power, long-distance communication method, is attracting attention. However, in LPWAN, the access time is limited by Duty Cycle (DC) to avoid mutual interference. Packet-level index modulation (PLIM) is a modulation scheme that uses a combination of the transmission time and frequency channel of a packet as an index, enabling throughput expansion even under DC constraints. The indexes used in PLIM are transmitted according to the mapping. However, when many sensors access the same index, packet collisions occur owing to selecting the same index. Therefore, we propose a mapping design for PLIM using mathematical optimization. The mapping was designed and modeled as a quadratic integer programming problem. The results of the computer simulation evaluations were used to realize the design of PLIM, which achieved excellent sensor information aggregation in terms of environmental monitoring accuracy.
ER -
English
