The Best Paper Awards are given to the authors of the papers which have the highest quality among all competitive papers presented at the conference. The best papers are selected in two steps. First, selected TPC chairs pre-select a small number of papers from all competitive track submissions that have received the most positive reviewer feedback. Thereafter, the organizing general co-chairs review these pre-selected papers anonymously and determine the best papers.

For this year, the following papers are selected as best papers of ICOIN 2023:

Collaborative Computation Offloading Scheme Based on DRL

JInho Park and Kwangsue Chung (Kwangwoon University, Korea (South))

Measurement of Sub-GHz Band LPWA Radiowave Propagation on Each Floor in Indoor Environment

Taro Miyamoto and Shusuke Narieda (Mie University, Japan); Takeo Fujii (The University of Electro-Communications, Japan); Hiroshi Naruse (Mie University, Japan)

Signal Strength Balanced Scheduling for Secure Ambient Backscatter Networks

Yeonoh An (Korea University, Korea (South)); Hoorin Park (Seoul Women's University, Korea (South)); Wonjun Lee (Korea University, Korea (South))

Perceptual Encryption-Based Privacy-Preserving Deep Learning for Medical Image Analysis

Ijaz Ahmad and Seokjoo Shin (Chosun University, Korea (South))

Topology Design for Data Center Networks Using Deep Reinforcement Learning

Haoran Qi and Zhan Shu (University of Alberta, Canada); Xiaomin Chen (Northumbria University, United Kingdom (Great Britain))

Seamless and Efficient Resources Allocation in 6G Satellite Networks Servicing Remote User Equipments

Sheikh Salman Hassan, Yu Min Park, Ki Tae Kim, Sang Hoon Hong and Choong Seon Hong (Kyung Hee University, Korea (South))

UAV Trajectory Planning for Improved Content Availability in Infrastructure-Less Wireless Networks

Amit Kumar Bhuyan, Hrishikesh Dutta and Subir Biswas (Michigan State University, USA)

Privacy Data Protection Scheme of Industrial Field Equipment Based on Fully Homomorphic Encryption

Feng Xiao (Chongqing University of Posts and Telecommunications, China); Jin Wang (State Grid Hubei Electric Power Research Institute, China); Min Wei (Chongqing University of Posts and Telecommunications, China); Chang Liu (State Grid Hubei Electric Power Research Institute, China); Vanqui Le (Chongqing University of Posts and Telecommunications, China); Jiangpei Xu (State Grid Hubei Electric Power Research Institute, China)

Scene Identification Using Visual Semantic Segmentation and Supplementary Classifier for Resource-Constrained Edge Systems

Chungjae Choe and Sungwook Jung (Korea Electronics Technology Institute (KETI), Korea (South)); Nak-Myoung Sung (Korea Electronics Technology Institute, Korea (South)); Seokjun Lee (Korea Electronics Technology Institute (KETI), Korea (South))

Offloading Visual SLAM Processing to the Edge: An Energy Perspective

Peter Sossalla (Technische Universität Dresden, Germany); Johannes Hofer (Technische universität Dresden, Germany); Christian Leonard Vielhaus and Justus Rischke (Technische Universität Dresden, Germany); Frank H.P. Fitzek (Technische Universität Dresden & ComNets - Communication Networks Group, Germany)