Dynamic control of data ferries under partial observations
Chi Harold Liu, Ting He, et al.
WCNC 2010
In this paper, we investigate how in-network aggregation approach impacts the target tracking quality in multi-hop wireless sensor networks under network delays. Specifically, we use the mean squared error (MSE) of the target location estimate to quantify the target tracking quality, and investigate how in-network aggregation affects the MSE. To obtain insights without being obscured by onerous mathematical details, we assume a Brownian motion mobility model for the target, Gaussian measurement noise for the sensors, and independent per-hop delays. Under the above assumptions, we first propose an aggregation scheme that preserves a sufficient statistic for optimal tracking under data aggregation at the intermediate nodes and arbitrary network delays. We then analytically study the impact of aggregation in three increasingly more complicated scenarios: single task tracking with only transmission delay, single task tracking with both transmission delay and queueing delay at intermediate nodes, and multi-task tracking. Our results demonstrate that in-network aggregation improves tracking quality in all three scenarios. Furthermore, our analysis provides guidelines on how to choose aggregation parameters in practice. © 1983-2012 IEEE.
Chi Harold Liu, Ting He, et al.
WCNC 2010
Chatschik Bisdikian, Stefan Hild, et al.
Wireless Commun. Mobile Comput.
Hanlin Lu, Ting He, et al.
ICDCS 2020
Murat Sensoy, Chatschik Bisdikian, et al.
SPIE Defense + Security 2012