@article{Chen2012, 
author = {Siyuan Chen and Yu Wang},
title = {Data Collection Capacity of Random-Deployed Wireless Sensor Networks under Physical Models},
year = {2012},
journal = {Tsinghua Science and Technology},
volume = {17},
number = {5},
pages = {487-498},
keywords = {data collection, capacity, physical model, wireless sensor networks},
url = {https://www.sciopen.com/article/10.1109/TST.2012.6314526},
doi = {10.1109/TST.2012.6314526},
abstract = {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.}
}