TY - GEN
T1 - Learning, self-scheduling TDMA (LeSS-TDMA) for sensor networks
AU - Cionca, Victor
AU - Newe, Thomas
AU - Dǎdârlat, Vasile
PY - 2008
Y1 - 2008
N2 - This paper proposes LeSS-TDMA, a novel approach for scheduling TDMA activity in a sensor network, where nodes create their own schedules by learning from previous activity. The protocol uses routing information to establish a schedule appropriate for periodical data gathering, which is the main traffic type in sensor networks. The schedule is determined by examining patterns that arise from data being sent in an incipient CSMA/CA, RTS/CTS phase. No extra control packets are needed, as is the case with existing TDMA solutions, so the power consumption is reduced. Tests show a high data throughput and fast schedule establishment, in tree-like topologies with relatively small neighborhoods.
AB - This paper proposes LeSS-TDMA, a novel approach for scheduling TDMA activity in a sensor network, where nodes create their own schedules by learning from previous activity. The protocol uses routing information to establish a schedule appropriate for periodical data gathering, which is the main traffic type in sensor networks. The schedule is determined by examining patterns that arise from data being sent in an incipient CSMA/CA, RTS/CTS phase. No extra control packets are needed, as is the case with existing TDMA solutions, so the power consumption is reduced. Tests show a high data throughput and fast schedule establishment, in tree-like topologies with relatively small neighborhoods.
UR - http://www.scopus.com/inward/record.url?scp=67649987124&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2008.4716492
DO - 10.1109/ICSENS.2008.4716492
M3 - Conference contribution
AN - SCOPUS:67649987124
SN - 9781424425808
T3 - Proceedings of IEEE Sensors
SP - 522
EP - 525
BT - 2008 IEEE Sensors, SENSORS 2008
T2 - 2008 IEEE Sensors, SENSORS 2008
Y2 - 26 October 2008 through 29 October 2009
ER -