TY - GEN
T1 - A graph-center-based scheme for energy-efficient data collection in wireless sensor networks
AU - Wang, Dajin
PY - 2006
Y1 - 2006
N2 - We consider the problem of sensor data collection in a wireless sensor network (WSN). The geographic deployment of sensors is random, with an irregular network topology. We propose a data collection scheme for the WSN, based on the concept of the center of the graph in graph theory. The purpose of the scheme is to use less power in the process of data collection. Because it is mostly true that the sensors of WSN are powered by batteries, power saving is an especially important issue in WSN. In this paper, we will propose the energy-saving scheme, and provide the experimental results. It is shown that under the energy consumption model used in the paper, the proposed scheme saves about 20% of the power collecting data from sensors.
AB - We consider the problem of sensor data collection in a wireless sensor network (WSN). The geographic deployment of sensors is random, with an irregular network topology. We propose a data collection scheme for the WSN, based on the concept of the center of the graph in graph theory. The purpose of the scheme is to use less power in the process of data collection. Because it is mostly true that the sensors of WSN are powered by batteries, power saving is an especially important issue in WSN. In this paper, we will propose the energy-saving scheme, and provide the experimental results. It is shown that under the energy consumption model used in the paper, the proposed scheme saves about 20% of the power collecting data from sensors.
KW - Energy efficiency
KW - Graph center
KW - Hierarchical structures
KW - Wireless networks
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84886047164&partnerID=8YFLogxK
U2 - 10.1007/11943952_49
DO - 10.1007/11943952_49
M3 - Conference contribution
AN - SCOPUS:84886047164
SN - 3540499326
SN - 9783540499329
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 579
EP - 587
BT - Mobile Ad-Hoc and Sensor Networks - 2nd International Conference, MSN 2006, Proceedings
T2 - 2nd International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2006
Y2 - 13 December 2006 through 15 December 2006
ER -