TY - GEN
T1 - Reducing communication delay by finding sink location in low-duty-cycle wireless sensor networks
AU - Lin, Yu Yuan
AU - Ssu, Kuo Feng
AU - Chiang, Hau Yu
AU - Yang, Chun Hao
PY - 2013
Y1 - 2013
N2 - Low-duty-cycle mechanisms can reduce the energy consumption in wireless sensor networks. Many related researches have been made in recent years. In the low-duty-cycle environment, the latency of sending packets from a sink to each node is much longer than traditional WSNs because nodes stay asleep most of the time. In this paper, the Centralized Cluster-based Location Finding (CCLF) algorithm is proposed to reduce the high latency in low-duty-cycle WSNs by finding a suitable position for the sink. The algorithm mainly consisted of three steps: (1) Cluster construction, (2) The fast look-up table (FLU-table) construction, and (3) Sink location decision. The simulation results show that the performance of the CCLF algorithm approaches the performance of the optimal algorithm. Moreover, the CCLF algorithm requires less operation time compared with the optimal algorithm.
AB - Low-duty-cycle mechanisms can reduce the energy consumption in wireless sensor networks. Many related researches have been made in recent years. In the low-duty-cycle environment, the latency of sending packets from a sink to each node is much longer than traditional WSNs because nodes stay asleep most of the time. In this paper, the Centralized Cluster-based Location Finding (CCLF) algorithm is proposed to reduce the high latency in low-duty-cycle WSNs by finding a suitable position for the sink. The algorithm mainly consisted of three steps: (1) Cluster construction, (2) The fast look-up table (FLU-table) construction, and (3) Sink location decision. The simulation results show that the performance of the CCLF algorithm approaches the performance of the optimal algorithm. Moreover, the CCLF algorithm requires less operation time compared with the optimal algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84906736065&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906736065&partnerID=8YFLogxK
U2 - 10.1109/PRDC.2013.30
DO - 10.1109/PRDC.2013.30
M3 - Conference contribution
AN - SCOPUS:84906736065
SN - 9780769551302
T3 - Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
SP - 136
EP - 137
BT - Proceedings - 2013 IEEE 19th Pacific Rim International Symposium on Dependable Computing, PRDC 2013
PB - IEEE Computer Society
T2 - 19th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2013
Y2 - 2 December 2013 through 4 December 2013
ER -