Modular design of jointly optimal controllers and forwarding policies for wireless control

performance functionals. Cross-layer control algorithms with optimal or suboptimal performance with respect to the above measures are presented and analyzed. A detailed exposition of the related analysis and design techniques is provided. 1

the designs of plant inputs and transmitting powers is provided. The resulting optimal controller is the standard LQR control law while the optimal communication policy follows from a Markov decision process problem accounting for power at the sensor and state estimation error at the controller. The features

for the operations at different layers are proposed. With the decision model in the link and physical layers, scheduling and transmission control are jointly optimized. By adding a decision model in the network layer, the benefit of cross-layer information is quantified and the optimal routing/forwarding strategy

considerations, and do not provide a theoretical background supporting such approaches. The paper aims at providing an analytical framework for the study of single-hop video delivery over a wireless link, enabling cross-layer interactions for performance optimization using power control and FEC and providing a

-by-hop by compressing the new samples gathered from the sensor board and forwarding towards the next sensor in the route. Compression is based on a linear predictive encoding to exploit the correlation properties of the field. Cross-layer design of source, channel coding and medium access control are jointly analyzed

approach to fulfill application objectives. In this paper, we propose an Energy Optimization Approach based on Cross-Layer for Wireless Sensor Networks named as EOA, which consider the joint optimal design of the physical, medium access control (MAC), and routing layer. The focus of EOA

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for mean-square stabilization are presented, which reveal signal-to-noise ratio requirements for stabilization which are tight in certain class of settings. Optimal linear policies are constructed, global optimality and sub-optimality of such policies are investigated in a variety of settings. We also

as an integer programming problem and derive an optimal scheduling policy for the jointly adaptive design. Both the forward link and the reverse link burst requests are considered and the system is evaluated by dynamic simulations which takes into account of the user mobility,power control and softhandoff. We