TY - GEN
T1 - Poster abstract
T2 - 12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013
AU - Liu, Jinzhi
AU - Suzuki, Makoto
AU - Lee, Doohwan
AU - Ishida, Shigemi
AU - Morikawa, Hiroyuki
PY - 2013
Y1 - 2013
N2 - To reduce the complexity of scheduling while exploiting the advantages of TDMA-based data collection, we propose TKN-TWN, a token-scheduled multi-channel data collection protocol. The TKN-TWN uses two tokens to arbitrate data-packet transmissions and associates the ownership of tokens with transmission slot assignment. For the reduction of scheduling burden, the TKN-TWN provides topology adaptability while maintaining high throughput in burst data transfer. In this paper, we present the system design of TKN-TWN with enhancement toward topology adaptability based on a previous work. We evaluate TKN-TWN on a local test bed using 31 TelosB sensor nodes. Evaluation results show that the TKN-TWN achieves throughput of 6.4KByte/s with more than 99% delivery ratio even with occasional node failures.
AB - To reduce the complexity of scheduling while exploiting the advantages of TDMA-based data collection, we propose TKN-TWN, a token-scheduled multi-channel data collection protocol. The TKN-TWN uses two tokens to arbitrate data-packet transmissions and associates the ownership of tokens with transmission slot assignment. For the reduction of scheduling burden, the TKN-TWN provides topology adaptability while maintaining high throughput in burst data transfer. In this paper, we present the system design of TKN-TWN with enhancement toward topology adaptability based on a previous work. We evaluate TKN-TWN on a local test bed using 31 TelosB sensor nodes. Evaluation results show that the TKN-TWN achieves throughput of 6.4KByte/s with more than 99% delivery ratio even with occasional node failures.
UR - http://www.scopus.com/inward/record.url?scp=84876758359&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876758359&partnerID=8YFLogxK
U2 - 10.1145/2461381.2461439
DO - 10.1145/2461381.2461439
M3 - Conference contribution
AN - SCOPUS:84876758359
SN - 9781450319591
T3 - IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013
SP - 343
EP - 344
BT - IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013
Y2 - 8 April 2013 through 11 April 2013
ER -