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Current research at the MNET Mobile Networking Laboratory, Department of Computer Science at Yonsei University, focuses on addressing key issues including routing, energy efficiency, throughput prediction, peer-link establishment, channel selection, hidden terminal problems, and scalable machine-to-machine communication using human mobility patterns and sink mobility. The research aims to find effective routing methods, optimize energy-efficient paths, predict real throughput, and enhance communication in wireless multi-hop networks. For more information, contact: 이건택 (keontaeklee@gmail.com).
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Current Research Issues under way in MNET Mobile Networking Laboratory Department of Computer Science Yonsei University
Delay Tolerant Network • Routing Issue • How TO FIND EFFECTIVE ROUTE • What kind of characteristic can we use • How to use human mobility pattern in routing • Peer-link establishment issue • channel selection • throughput prediction • hidden terminal problem Destination Source • Throughput prediction • Predict real throughput when the node is linked with other nodes of access point
Scalable Machine-to-Machine Communication Find the most energy efficient path Energy Efficient Routing Must be energy efficient! Mobile Robot Exploiting Sink Mobility Smartphone Cluster & Cluster head Energy Efficient Clustering
Wireless Multi-hop Networks Which way is better? Communication range 1 Interference range 1 Connection 3 2 1 Can’t receive 5 4 Can’t send
Mobile real-time multimedia service Laptop Original Wireless Mesh Network 0 move Mobile 0 Media Server move Tablet-PC Wired Network
Contact Info. 제 1공학관 A240호 Tel) 02 – 2123 – 7751 방장: 이건택 (keontaeklee@gmail.com)