DocumentCode :
693546
Title :
Poster abstract: High throughput data collection with topology adaptability in wireless sensor network
Author :
Jinzhi Liu ; Suzuki, M. ; Doohwan Lee ; Ishida, Shigesuke ; Morikawa, Hiroyuki
Author_Institution :
Res. Center for Adv. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan
fYear :
2013
fDate :
8-11 April 2013
Firstpage :
343
Lastpage :
344
Abstract :
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 6.4 KByte/s with more than 99% delivery ratio even with occasional node failures.
Keywords :
scheduling; telecommunication network topology; time division multiple access; wireless sensor networks; TDMA-based data collection; TKN-TWN; TelosB sensor node; byte rate 6.4 kByte/s; data-packet transmission; high throughput data collection; scheduling complexity reduction; token-scheduled multichannel data collection protocol; topology adaptability; transmission slot assignment; wireless sensor network; Data collection; Network topology; Protocols; Synchronization; Throughput; Topology; Wireless sensor networks; TDMA; Token; Topology; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
Conference_Location :
Philadelphia, PA
Type :
conf
DOI :
10.1109/IPSN.2013.6917589
Filename :
6917589
Link To Document :
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