Performance of Bulk Data Dissemination in Wireless Sensor Networks
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Online robust optimization framework for QoS guarantees in distributed soft real-time systems
EMSOFT '10 Proceedings of the tenth ACM international conference on Embedded software
Journal of Systems and Software
Optimal sensing using query arrival distributions
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Primal and dual-based algorithms for sensing range adjustment in WSNs
The Journal of Supercomputing
Near optimal rate selection for wireless control systems
ACM Transactions on Embedded Computing Systems (TECS)
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The allocation of computation and communicationresources in a manner that optimizes aggregate system performance is a crucial aspect of system management. Wireless sensor network poses new challenges due to the resource constraints and real-time requirements. Existing work has dealt with the realtime sampling rate assignment problem, under single processor case and network case with static routing environment. For wireless sensor networks, in order to achieve better overall network performance, routing should be considered together with the rate assignments of individual flows. In this paper, weaddress the problem of optimizing sampling rates with dynamic route selection for wireless sensor networks. We model the problem as a constrained optimization problem and solve it under the Network Utility Maximization framework. Based on the primal-dual method and dual decomposition technique, we design a distributed algorithm that achieves the optimal global network utility considering both dynamic route decision and rate assignment. Extensive simulations have been conducted todemonstrate the efficiency and efficacy of our proposed solutions.