|Objectives||Internet of Things (IoT) technology makes much impact on our society, and many APAN members have been conducting academic research, system and service development, demonstrations, and real-world deployment of IoT technology. In this session, we will have several presentations from APAN members sharing their IoT-related experiences and discussion with the audience.|
|1. || [Keynote] The Wireless IoT Network Infrasturcture for Science Data Transfer|
Joobum Kim, Korea Institute of Science and Technology Information (KISTI), Korea of Republic
KISTI is developing the wireless IoT network infrastructure, ScienceLoRa, for science data transfer. As the first application of ScienceLoRa, KISTI deployed the data transfer network for Integrated Environmental Radiation Monitoring Network (IERNet). In this presentation, I would like to introduce the architecture, device and gateway of the ScienceLoRa recently developed for IERNet and current progress of the ScienceLoRa.
|2. ||Wide-area data collection infrastructure: secured mobile network service in SINET|
Koji Sasayama, NII
The mobile network service named "Wide-area data collection infrastructure" to be incorporated into SINET for the first time is introduced. Valuable research data can be securely collected using closed mobile network and the SINET VPN service. Application experiments proposed in the testbed trial aiming for technological progress in IoT/5G era, which started in Dec. 2018, are also described.
|3. ||Real-Time Haze Monitoring and Forest Fire Detection in Southeast Asia (SEA HAZEMON)|
Adisorn Lertsinsrubtavee, AIT
In Thailand and Southeast Asia, haze air quality disasters caused by forest fires and agricultural-related burns occur every year, especially during drought periods. Haze disasters have been one of the key factors affecting the health and well-being of people living in both urban and rural areas. In this talk, I will present our on-going project on the development of Low-cost Real-time Monitoring of Haze Air Quality Disasters in Rural Communities in Thailand and Southeast Asia (SEA HAZEMON). The project was to set up an Internet of Things (IoT) testbed for Haze monitoring with big data analytics. The project successfully designed and built real-world field air quality sensors network in Mae Sot and Ta Song Yang districts of Tak Province with low-cost IoT devices and uploading the data from these IoT devices to Canarin Platform (www.canarin.net) for post data analysis.
|1. ||Community driven IoT - LoRaWAN and The Things Network|
Sebastian Büttrich, NSRC / IT University of Copenhagen, Denmark
Among the emerging technlogies for low-power wide-area networks (LPWAN), LoRaWAN seems particlarly well suited for scientific and community IoT, due to the existence of the open LoRaWAN stack, inexpensive modules, nodes and gateways, operating in license-free ISM spectrum, and the existence of community rather than provider centric models. One such community based approach is the global initiative The Things Network, building a network in which all gateways transport all packets regardless of origin, and without charge, limited only by capacity. Actors from public and private sectors, from academia and informal communities may work together to create this reliable global infrastructure. This talk briefly cover the basics of LoRa and LoRaWAN, to then focus on the creation of sustainable infrastructure for community and science. Special attention will be given to low-cost and DIY technology, and concrete cases from environmental monitoring, logistics and smart communities.
|2. ||Visual IoT : Techniques and its applications|
Ken T. Murata, NICT, Japan
Praphan Pavarangkoon, NICT, Japan
Takamchi Mizuhara, NICT, Japan
Kazunori Yamamoto, NICT, Japan
Kazuya Muranaga, NICT, Japan
Toshiki Aoki, NICT, Japan
Ayahiro Takaki, NICT, Japan
Visual Internet of Things (IoT) is a class of IoT that collects rich visual data over the Internet. In general, the visual IoT device is equipped with video transmission equipment such as a mobile camera. Both advanced video transmission techniques and information extraction from images by image recognition techniques are key techniques for the visual IoT. However, since the video data size is larger than the sensor data size in general, one of the issues of visual IoT is high-performance video transmission in networks in which the bandwidths are limited. In this paper, we design a real-time video transmission system using visual IoT device. Our system is based on a novel protocol, named high-performance video transmission (HpVT), for field monitoring via 4G LTE mobile networks. Our implementation of the system is based on Raspberry Pi boards, which are single-board computers with ARM processor. We evaluate the performance of our system in real fields to conclude that we can achieve full high-definition (full HD) resolution video transmission with as high frame rate as 30 fps even from a vehicle moving on a highway.
|3. ||General Discussion on the APAN IoT WG|
Eiji Kawai, NICT, Japan
We will discuss the future of the APAN IoT WG.