Complementary Data Transmission Control With Collision Avoidance for Efficient Retention of Large-size Spatio-Temporal Data

• Published in: IEEE Consumer Communications and Networking Conference pp. 710 - 711
• Main Authors: Kaneyasu, Hotaka, Nobayashi, Daiki, Tsukamoto, Kazuya, Ikenaga, Takeshi, Lee, Myung
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2023
• Subjects: Data communication; Data models; Internet of Things; Local Production and Consumption of Data; Packet loss; Production; Real-time systems; Simulation; Spatio-Temporal Data Retention; Vehicular Networks
• ISSN: 2331-9860
• DOI: 10.1109/CCNC51644.2023.10060769

Spatio-temporal aware IoT applications need to deliver the Spatio-Temporal Data (STD), which depends on geographic location and time, to the users in real-time. We have proposed the STD retention system using crowds of vehicles to promote the immediate distribution and utilization of STDs in geographical proximity to the user. However, when the system retains a Large-size STD (LSTD) consisting of multiple packets such as videos and photos, the packet loss due to channel collisions should be suppressed for effective retention of an LSTD. In this paper, we propose a complementary data transmission control method with collision avoidance for LSTD retention and clarify the effectiveness of our proposed method by simulation.