Abstract
This paper is concerned with system level energy management in wireless sensor networks. The network is required to conduct certain tasks which require information from individual sensors to be sent to a base station. Sensors cease functioning when they deplete their energy reserves or may fail abruptly due to random malfunctions. Sensor selection refers to the number of times sensors are interrogated, while sensor scheduling refers to the sequence in which these interrogations are conducted. A sensor management layer that isolates the system objectives from selection/scheduling is proposed. It is shown that sensor selection reduces to integer linear programming. Sensor scheduling is necessary when random sensor failures are considered or when the task definition is not stationary. Some general principles emerge. If all sensors are equally reliable, the optimal policy is to use the most energetic sensors first. If all sensors are equally energetic, the optimal policy is to use the least reliable sensor first.
Original language | English (US) |
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Title of host publication | 1st IFAC Workshop on Estimation and Control of Networked Systems, NecSys'09 |
Pages | 186-191 |
Number of pages | 6 |
DOIs | |
State | Published - Dec 1 2009 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2022-06-24Acknowledgements: Supported in part by OOF991-KAUST US LIMITED under award number 025478, and the UC Discovery Grant ele07-10283 under the IMPACT program.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.