@article{oai:kyutech.repo.nii.ac.jp:00007636,
 author = {Kaneyasu, Hotaka and Nobayashi, Daiki and 野林, 大起 and Tsukamoto, Kazuya and 塚本, 和也 and Ikenaga, Takeshi and 池永, 全志 and Lee, Myung},
 journal = {2022 IEEE International Conference on Consumer Electronics (ICCE)},
 month = {Mar},
 note = {With the development of IoT technology, various kinds of data are generated by IoT devices. Some of this data contains information on geographical location and time. We refer to such data as spatio-temporal data (STD). Since the “local production and consumption” of STD is effective for location-dependent applications, we have proposed an STD retention system that utilizes vehicles as data sources. STD sources ranges from simple sensory data to large video data. However, since previous methods assumed to retain an STD consisting of only one packet, retention of large STD sources may suffer from frequent packet collisions due to the increase in the number of packet transmissions. In this paper, we propose a data completeness-aware transmission control mechanism for large STD retention. Our simulation results showed that the proposed scheme reduces channel collision by suppressing the forwarding of incomplete data, and achieved a nearly 100% coverage rate., IEEE 40th International Conference on Consumer Electronics (ICCE 2022), 7-9 January 2022, Virtual Online Conference},
 title = {Data Completeness-aware Transmission Control for Large Spatio-Temporal Data Retention},
 year = {2022},
 yomi = {ノバヤシ, ダイキ and ツカモト, カズヤ and イケナガ, タケシ}
}