TY - GEN
T1 - Subdividing hexagon-clustered wireless sensor networks for power-efficiency
AU - Wang, Dajin
AU - Xu, Li
AU - Peng, Jing
AU - Robila, Stefan
PY - 2009
Y1 - 2009
N2 - Hexagons are an ideal shape for clustering sensor networks, because clustered areas can be seamlessly divided by the hexagons. In addition, hexagons are the largest regular polygon (in terms of the number of sides) that has this property. In this paper, we propose a novel scheme for subdividing a hexagonal cluster where sensors are densely populated and distributed uniformly throughout the cluster. We provide an analytical estimate of power saving resulting from the subdivision, and show that our proposal gives rise to a substantial reduction in power consumption. We also perform subdivisions at various scales, and analyze the corresponding power saving patterns. Our results show that the proposed scheme will yield significant saving in overall power consumption of a cluster, and the deeper the subdivision, the less the power consumption.
AB - Hexagons are an ideal shape for clustering sensor networks, because clustered areas can be seamlessly divided by the hexagons. In addition, hexagons are the largest regular polygon (in terms of the number of sides) that has this property. In this paper, we propose a novel scheme for subdividing a hexagonal cluster where sensors are densely populated and distributed uniformly throughout the cluster. We provide an analytical estimate of power saving resulting from the subdivision, and show that our proposal gives rise to a substantial reduction in power consumption. We also perform subdivisions at various scales, and analyze the corresponding power saving patterns. Our results show that the proposed scheme will yield significant saving in overall power consumption of a cluster, and the deeper the subdivision, the less the power consumption.
UR - http://www.scopus.com/inward/record.url?scp=64749100162&partnerID=8YFLogxK
U2 - 10.1109/CMC.2009.317
DO - 10.1109/CMC.2009.317
M3 - Conference contribution
AN - SCOPUS:64749100162
SN - 9780769535012
T3 - Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
SP - 454
EP - 458
BT - Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
T2 - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Y2 - 6 January 2009 through 8 January 2009
ER -