| 2008 |
|---|
| 12 | EE | Hai-Heng Ng,
Wee-Seng Soh,
Mehul Motani:
MACA-U: A Media Access Protocol for Underwater Acoustic Networks.
GLOBECOM 2008: 833-837 |
| 11 | EE | Nitthita Chirdchoo,
Wee-Seng Soh,
Kee Chaing Chua:
MU-Sync: a time synchronization protocol for underwater mobile networks.
Underwater Networks 2008: 35-42 |
| 10 | EE | Nitthita Chirdchoo,
Wee-Seng Soh,
Kee Chaing Chua:
MACA-MN: A MACA-Based MAC Protocol for Underwater Acoustic Networks with Packet Train for Multiple Neighbors.
VTC Spring 2008: 46-50 |
| 9 | EE | Nitthita Chirdchoo,
Wee-Seng Soh,
Kee Chaing Chua:
RIPT: A Receiver-Initiated Reservation-Based Protocol for Underwater Acoustic Networks.
IEEE Journal on Selected Areas in Communications 26(9): 1744-1753 (2008) |
| 2007 |
|---|
| 8 | EE | Nitthita Chirdchoo,
Wee-Seng Soh,
Kee Chaing Chua:
Aloha-Based MAC Protocols with Collision Avoidance for Underwater Acoustic Networks.
INFOCOM 2007: 2271-2275 |
| 2006 |
|---|
| 7 | EE | Wee-Seng Soh,
Hyong S. Kim:
A predictive bandwidth reservation scheme using mobile positioning and road topology information.
IEEE/ACM Trans. Netw. 14(5): 1078-1091 (2006) |
| 2004 |
|---|
| 6 | EE | Wee-Seng Soh,
Hyong S. Kim:
Dynamic Bandwidth Reservation in Cellular Networks Using Road Topology Based Mobility Predictions.
INFOCOM 2004 |
| 5 | EE | Zoe Antoniou,
Wee-Seng Soh:
Restorability Enhancement and Service-Oriented Protection in Radio Access Networks.
QSHINE 2004: 225-232 |
| 2001 |
|---|
| 4 | EE | Wee-Seng Soh,
Hyong S. Kim:
Dynamic Guard Bandwidth Scheme for Wireless Broadband Networks.
INFOCOM 2001: 572-581 |
| 3 | EE | Wee-Seng Soh,
Chen-Khong Tham:
Modular neural networks for multi-service connection admission control.
Computer Networks 36(2/3): 181-202 (2001) |
| 1999 |
|---|
| 2 | | Hoon-Tong Ngin,
Chen-Khong Tham,
Wee-Seng Soh:
Generalised Minimum Queueing Delay: An Adaptive Multi-Rate Service Discipline for ATM Networks.
INFOCOM 1999: 398-404 |
| 1998 |
|---|
| 1 | | Chen-Khong Tham,
Wee-Seng Soh:
Multi-Service Connection Admission Control Using Modular Neural Networks.
INFOCOM 1998: 1022-1029 |
