Simulating the Effect of Uncertainty in Sensor Positions on the Accuracy of Target Localization in Wireless Sensor Networks

Elliott, J.L.; Noel, Mathew Mithra; Joshi, P.P.; Jannett, T.C.

doi:10.1109/second.2006.1629335

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“…In reality, many factors may contribute to some measure of sensor placement uncertainty, resulting in less than ideal sensor positioning. We studied the accuracy of target localization achieved using detection decisions made by sensors whose positions were assumed to be exactly known, even though the detections were actually generated by sensors having uncertain positions [26]. Computer simulations were used to demonstrate that sensor position uncertainty, along with noise and coarseness of the sensor grid, degraded the accuracy of target location estimation.…”

Section: L+ad(mentioning

confidence: 99%

Intelligent Control for Future Autonomous Distributed Sensor Systems

Jannett¹

2007

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Key distributed coordination and control technologies needed for future deployable autonomous distributed systems were investigated. Specific tasks accomplished include: 1) identification and exploration of alternative distributed intelligent system architectures, methods for distributed data fusion, control, and coordination, and strategies that will increase the ability of the field to survive attacks, failures, and accidents, 2) development of new intelligent software agents that facilitate distributed coordination and control, end 3) creation of computer simulations for developing and testing alternative algorithms, considering tradeoffs, and evaluating the ability of the distributed system to achieve its goals when presented with a set of operational challenges. This approach allowed design alternatives to be explored, allowed trade-offs to be exposed, provided insight into the parameters that impact overall system performance, and facilitated the identification of requirements for further development. factual summary of the most significant information. PLEASE DO NOT5e. TASK NUMBER. Enter all task numbers as they 15. SUBJECT TERMS. Key words or phrases appear in the report, e.g. 05; RF0330201; T4112.identifying major concepts in the report.5f. WORK UNIT NUMBER. Enter all work unit numbers as they appear in the report, e.g. 001; 16. SECURITY CLASSIFICATION. Enter security AFAPL30480105.classification in accordance with security classification regulations, e.g. U, C, S, etc. If this form contains 6. AUTHOR(S). Enter name(s) of person(s) classified information, stamp classification level on the responsible for writing the report, performing the top and bottom of this page. research, or credited with the content of the report. The form of entry is the last name, first name, middle 17. LIMITATION OF ABSTRACT. This block must be initial, and additional qualifiers separated by commas, completed to assign a distribution limitation to the e.g. Smith, Richard, J, Jr.abstract. Enter UU (Unclassified Unlimited) or SAR (Same as Report). An entry in this block is necessary if 7. PERFORMING ORGANIZATION NAME(S) AND teasrc st elmtd ADDRESS(ES ABSTRACTKey distributed coordi...

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Section: L+ad(mentioning

confidence: 99%

Intelligent Control for Future Autonomous Distributed Sensor Systems

Jannett¹

2007

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Simulating the Effect of Uncertainty in Sensor Positions on the Accuracy of Target Localization in Wireless Sensor Networks

Cited by 1 publication

References 2 publications

Intelligent Control for Future Autonomous Distributed Sensor Systems

Intelligent Control for Future Autonomous Distributed Sensor Systems

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