TY  - JOUR
AU  - Chen, Siyuan
AU  - Wang, Yu
PY  - 2012
TI  - Data Collection Capacity of Random-Deployed Wireless Sensor Networks under Physical Models
JO  - Tsinghua Science and Technology
SN  - 1007-0214
SP  - 487
EP  - 498
VL  - 17
IS  - 5
AB  - Data collection is one of the most important functions provided by wireless sensor networks. In this paper, we study the theoretical limitations of data collection in terms of capacity for a wireless sensor network where n sensors are randomly deployed. We first consider data collection under physical model. We show that the capacity of data collection is in order of    Θ  (  W  ) where    W is the fixed data-rate on individual links. Particularly, we give a simple collection method based on interference blocks and theoretically prove that the method can achieve the optimal capacity in order. If each sensor can aggregate its receiving packets into a single packet to send, the capacity of data collection increases to    Θ      (                  n                  log          ⁡          n                    W        )  . We then derive a lower bound and an upper bound of data collection capacity under generalized physical model where the data rate depends on the signal to interference plus noise ratio.
UR  - https://doi.org/10.1109/TST.2012.6314526
DO  - 10.1109/TST.2012.6314526