Fundamentals of wireless communication
Fundamentals of wireless communication
Markov decision processes with multiple long-run average objectives
FSTTCS'07 Proceedings of the 27th international conference on Foundations of software technology and theoretical computer science
IEEE Transactions on Signal Processing
Reputation-based networked control with data-corrupting channels
Proceedings of the 14th international conference on Hybrid systems: computation and control
HMM-based characterization of channel behavior for networked control systems
Proceedings of the 1st international conference on High Confidence Networked Systems
Optimal linear state estimation over a packet-dropping network using linear temporal coding
Automatica (Journal of IFAC)
Hi-index | 0.00 |
In wireless networks the probability of successful communication can be significantly increased by transmitting multiple copies of a same packet. Communication protocols that exploit this by dynamically assigning the number of transmitted copies of the same data can significantly improve the control performance in a networked control system with only a modest increase in the total number of transmissions. In this paper we develop techniques to design communication protocols that exploit multiple packets transmissions while seeking a balance between stability/estimation performance and communication rate. An average cost optimality criterion is employed to obtain optimal protocols. Optimal protocols are also obtained for networks whose nodes are subject to limited computation.