Page 215 - Kaleidoscope Academic Conference Proceedings 2021

Session 2: Networking requirements and solutions for IoT and industrial applications

S2.1 Optimizing packet transmission for ledger-based points transfer system in LPWAN: Solutions,
evaluation and standardization
Xin Qi, Keping Yu and Toshio Sato (Waseda University, Japan); Kouichi Shibata (Skeed Co., Ltd.,
Japan); Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen,
Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako and Takuro Sato (Waseda University, Japan)

Low Power Wide Area Network (LPWAN) is a long-range low-power wireless communication
network. Its features, such as wide network coverage and low power consumption of terminals,
make it suitable for large-scale deployment of IoT applications. The points transfer system,
especially points transfer system in LPWAN, as a typical third-party payment application, is being
closely attended by both industry and academia. Recent studies have shown that distributed ledger
technology, because of its characteristics such as high confidentiality, non-tampering, and
decentralization, is a good solution to problems such as low-security performance due to
centralized storage for a points transfer system. However, the distributed ledger will generate a
large amount of data traffic in recording the transactions of network participants, which is a
challenge for resource-constrained IoT devices. To address these issues, we propose an optimized
packet transmission mechanism for a ledger-based points transfer system in LPWAN. Simulation
results show that our proposed mechanism can well reduce the packet transmission of the whole
system and meet the requirements of LPWAN. Moreover, we update the reader with information
about distributed ledger and standardization-related activities in this paper.
S2.2 Enhancing the system model for home interior design using augmented reality
Dhananjay Kumar and Panchalingam Srinidhy (Anna University, India); Ved P. Kafle (National
Institute of Information and Communications Technology, Japan)

Home interior design is often a challenging and time-consuming task due to several mismatches
between the selection of interiors in a shop and their composition in a target room. One of these
mismatches is a lack of knowledge in relation to the target room and to other interiors when an
item is seen in a shop. In this paper, we propose to design and develop a system model by which
users can virtually try out various settings of home interiors by using marker-less Augmented
Reality (AR). To minimize the latency of the system, we apply the hybrid approach of combining
an AR framework with a Simultaneous Localization And Mapping (SLAM) algorithm, where the
3D feature points are updated dynamically, thereby avoiding occlusion when multiple interiors are
placed on the real-world view. Dimension scanning is deployed to provide accurate live-size
scaling to the real-world environment whereas transformations are handled efficiently by means
of a touch gesture recognition. The proposed system model for home interior design can be easily
implemented as a mobile application. The performance evaluation through experiments shows that
with the SLAM algorithm, the average response time of the proposed system improves by 43%.
The proposed system is intended to meet the requirements of virtual and augmented reality services
specified by ITU-T Study Group 16.

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