139 Citations (Scopus)

Abstract

Sensor systems typically operate under resource constraints that prevent the simultaneous use of all resources all of the time. Sensor management becomes relevant when the sensing system has the capability of actively managing these resources; i.e., changing its operating configuration during deployment in reaction to previous measurements. Examples of systems in which sensor management is currently used or is likely to be used in the near future include autonomous robots, surveillance and reconnaissance networks, and waveform-agile radars. This paper provides an overview of the theory, algorithms, and applications of sensor management as it has developed over the past decades and as it stands today.

Original languageEnglish (US)
Article number6018982
Pages (from-to)3064-3075
Number of pages12
JournalIEEE Sensors Journal
Volume11
Issue number12
DOIs
StatePublished - 2011

Fingerprint

resources
sensors
Sensors
reconnaissance
surveillance
robots
waveforms
Robots
configurations

Keywords

  • Active adaptive sensors
  • information-optimized planning
  • multiarmed bandits
  • multistage planning
  • myopic planning
  • optimal decision policies
  • plan-ahead sensing
  • policy approximation
  • radar waveform scheduling
  • reinforcement learning
  • sequential decision processes
  • stochastic control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Sensor management : Past, present, and future. / Hero, Alfred O.; Cochran, Douglas.

In: IEEE Sensors Journal, Vol. 11, No. 12, 6018982, 2011, p. 3064-3075.

Research output: Contribution to journalArticle

Hero, Alfred O. ; Cochran, Douglas. / Sensor management : Past, present, and future. In: IEEE Sensors Journal. 2011 ; Vol. 11, No. 12. pp. 3064-3075.
@article{5f7ad42274534816b8645f4cd01b6bb8,
title = "Sensor management: Past, present, and future",
abstract = "Sensor systems typically operate under resource constraints that prevent the simultaneous use of all resources all of the time. Sensor management becomes relevant when the sensing system has the capability of actively managing these resources; i.e., changing its operating configuration during deployment in reaction to previous measurements. Examples of systems in which sensor management is currently used or is likely to be used in the near future include autonomous robots, surveillance and reconnaissance networks, and waveform-agile radars. This paper provides an overview of the theory, algorithms, and applications of sensor management as it has developed over the past decades and as it stands today.",
keywords = "Active adaptive sensors, information-optimized planning, multiarmed bandits, multistage planning, myopic planning, optimal decision policies, plan-ahead sensing, policy approximation, radar waveform scheduling, reinforcement learning, sequential decision processes, stochastic control",
author = "Hero, {Alfred O.} and Douglas Cochran",
year = "2011",
doi = "10.1109/JSEN.2011.2167964",
language = "English (US)",
volume = "11",
pages = "3064--3075",
journal = "IEEE Sensors Journal",
issn = "1530-437X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "12",

}

TY - JOUR

T1 - Sensor management

T2 - Past, present, and future

AU - Hero, Alfred O.

AU - Cochran, Douglas

PY - 2011

Y1 - 2011

N2 - Sensor systems typically operate under resource constraints that prevent the simultaneous use of all resources all of the time. Sensor management becomes relevant when the sensing system has the capability of actively managing these resources; i.e., changing its operating configuration during deployment in reaction to previous measurements. Examples of systems in which sensor management is currently used or is likely to be used in the near future include autonomous robots, surveillance and reconnaissance networks, and waveform-agile radars. This paper provides an overview of the theory, algorithms, and applications of sensor management as it has developed over the past decades and as it stands today.

AB - Sensor systems typically operate under resource constraints that prevent the simultaneous use of all resources all of the time. Sensor management becomes relevant when the sensing system has the capability of actively managing these resources; i.e., changing its operating configuration during deployment in reaction to previous measurements. Examples of systems in which sensor management is currently used or is likely to be used in the near future include autonomous robots, surveillance and reconnaissance networks, and waveform-agile radars. This paper provides an overview of the theory, algorithms, and applications of sensor management as it has developed over the past decades and as it stands today.

KW - Active adaptive sensors

KW - information-optimized planning

KW - multiarmed bandits

KW - multistage planning

KW - myopic planning

KW - optimal decision policies

KW - plan-ahead sensing

KW - policy approximation

KW - radar waveform scheduling

KW - reinforcement learning

KW - sequential decision processes

KW - stochastic control

UR - http://www.scopus.com/inward/record.url?scp=80155129567&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80155129567&partnerID=8YFLogxK

U2 - 10.1109/JSEN.2011.2167964

DO - 10.1109/JSEN.2011.2167964

M3 - Article

AN - SCOPUS:80155129567

VL - 11

SP - 3064

EP - 3075

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

SN - 1530-437X

IS - 12

M1 - 6018982

ER -