Wireless Sensor Network Scheduling For Remote Estimation Under Energy Constraints
2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)(2017)
Abstract
This paper studies a design problem of how a group of wireless sensors are selected and scheduled to transmit data efficiently over a multi-hop network subject to energy-saving consideration, when they are observing multiple independent discrete-time linear systems. Each time instant, some sensors are selected to transmit their measurements to a remote estimator. We formulate an optimization problem, minimizing a linear combination of the averaged estimation error and the averaged transmission energy consumption to obtain suitable network scheduling and estimation algorithms. Necessary conditions for optimality are derived and these conditions help trim the feasible solution space so that the optimal solution can be computed efficiently. A numerical example is provided to demonstrate the theoretical results.
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Key words
optimal solution,wireless sensor network scheduling,remote estimation,energy constraints,remote estimator,optimization problem,linear combination,averaged estimation error,averaged transmission energy consumption,estimation algorithms,design problem,multihop network,energy-saving,multiple independent discrete-time linear systems,necessary conditions
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