TY - GEN
T1 - Capacity of data collection in arbitrary wireless sensor networks
AU - Chen, Siyuan
AU - Tang, Shaojie
AU - Huang, Minsu
AU - Wang, Yu
PY - 2010
Y1 - 2010
N2 - How to efficiently collect sensing data from all sensor nodes is critical to the performance of wireless sensor networks. In this paper, we aim to understand the theoretical limitations of data collection in terms of possible and achievable maximum capacity. Previously, the study of data collection capacity [1]-[6] has only concentrated on large-scale random networks. However, in most of practical sensor applications, the sensor network is not deployed uniformly and the number of sensors may not be as huge as in theory. Therefore, it is necessary to study the capacity of data collection in an arbitrary network. In this paper, we derive the upper and constructive lower bounds for data collection capacity in arbitrary networks. The proposed data collection method can lead to order-optimal performance for any arbitrary sensor networks. We also examine the design of data collection under a general graph model and discuss performance implications.
AB - How to efficiently collect sensing data from all sensor nodes is critical to the performance of wireless sensor networks. In this paper, we aim to understand the theoretical limitations of data collection in terms of possible and achievable maximum capacity. Previously, the study of data collection capacity [1]-[6] has only concentrated on large-scale random networks. However, in most of practical sensor applications, the sensor network is not deployed uniformly and the number of sensors may not be as huge as in theory. Therefore, it is necessary to study the capacity of data collection in an arbitrary network. In this paper, we derive the upper and constructive lower bounds for data collection capacity in arbitrary networks. The proposed data collection method can lead to order-optimal performance for any arbitrary sensor networks. We also examine the design of data collection under a general graph model and discuss performance implications.
UR - https://www.scopus.com/pages/publications/77953305249
U2 - 10.1109/INFCOM.2010.5462214
DO - 10.1109/INFCOM.2010.5462214
M3 - Conference contribution
AN - SCOPUS:77953305249
SN - 9781424458363
T3 - Proceedings - IEEE INFOCOM
BT - 2010 Proceedings IEEE INFOCOM
T2 - IEEE INFOCOM 2010
Y2 - 14 March 2010 through 19 March 2010
ER -