TY - GEN
T1 - Distributed dynamic shared tree for minimum energy data aggregation of multiple mobile sinks in wireless sensor networks
AU - Kwang-il, Hwang
AU - In, Jeongsik
AU - Eom, Doo Seop
PY - 2006
Y1 - 2006
N2 - Sink mobility creates new challenges for several sensor network applications. In mobile sink environments, each sink must propagate its current location continuously, through a sensor field, in order to keep all sensor nodes updated with the direction of data forwarding. This method consumes large amounts of energy. Although several protocols, such as DD, TTDD, and SEAD, have been proposed, in order to solve mobile sink problems, no existing approaches provide both a low delay and energy-efficient solution to this mobile sink problem. In this paper, a distributed dynamic shared tree for minimum energy data aggregation with low delay in highly mobile sink environments, is proposed. In the proposed protocol, the tree is shared with the other slave sinks. Through simulations it is shown that the DST is an extremely energy-efficient, robust protocol with relatively low delay, when compared to DD, TTDD, and SEAD.
AB - Sink mobility creates new challenges for several sensor network applications. In mobile sink environments, each sink must propagate its current location continuously, through a sensor field, in order to keep all sensor nodes updated with the direction of data forwarding. This method consumes large amounts of energy. Although several protocols, such as DD, TTDD, and SEAD, have been proposed, in order to solve mobile sink problems, no existing approaches provide both a low delay and energy-efficient solution to this mobile sink problem. In this paper, a distributed dynamic shared tree for minimum energy data aggregation with low delay in highly mobile sink environments, is proposed. In the proposed protocol, the tree is shared with the other slave sinks. Through simulations it is shown that the DST is an extremely energy-efficient, robust protocol with relatively low delay, when compared to DD, TTDD, and SEAD.
UR - http://www.scopus.com/inward/record.url?scp=33745519056&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33745519056
SN - 3540321586
SN - 9783540321583
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 132
EP - 147
BT - Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings
T2 - 3rd European Workshop on Wireless Sensor Networks, EWSN 2006
Y2 - 13 February 2006 through 15 February 2006
ER -