Wireless sensor network scheduling for remote estimation under energy constraints

• Published in: CDC : 2017 IEEE 56th annual Conference on Decision and Control : 12-15 December 2017 pp. 3362 - 3367
• Main Authors: Iwaki, Takuya, Yuchi Wu, Junfeng Wu, Sandberg, Henrik, Johansson, Karl Henrik
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2017
• Series: IEEE Conference on Decision and Control
• Subjects: Energy consumption; Estimation; Job shop scheduling; Logic gates; Sensor systems; Wireless sensor networks
• ISBN: 9781509028733; 1509028730
• DOI: 10.1109/CDC.2017.8264152

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.