Lattice sensor networks: capacity limits, optimal routing and robustness to failures
Proceedings of the 3rd international symposium on Information processing in sensor networks
On the robustness of grid-based deployment in wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Analysis of a wireless sensor dropping problem in wide-area environmental monitoring
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Multidimensional Linear Iterative Circuits General Properties
IEEE Transactions on Computers
A flow-based reliability measure for wireless sensor networks
International Journal of Sensor Networks
A direct-construction approach to multidimensional realization and LFR uncertainty modeling
Multidimensional Systems and Signal Processing
New approach to stability of 2-D discrete systems with state saturation
Signal Processing
Journal of Control Science and Engineering
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Using the Roesser model, a method for distributed information processing in grid sensor networks is presented by Sumanasena and Bauer (A Roesser model based multidimensional systems approach for grid sensor networks. Pacific Grove, California, 2009). The method can be used to implement linear systems in grid sensor networks. Unless information originating in a node can be conveyed over the entire sensor network in a single time slot, for a system described by the Roesser model to be implementable in real-time on a sensor network, the system matrices of the Roesser model have to assume a particular form. A necessary and sufficient condition for a proper transfer matrix to be realizable in the constrained Roesser model is established in this paper. A realization algorithm to derive the Roesser model of the desired form, given an admissible transfer matrix is derived. The analogues problem for the realization of non-proper transfer matrices is also addressed.