Fuzzy mobile-robot positioning in intelligent spaces using wireless sensor networks.

Sensors (Basel, Switzerland) · 2011 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 3232

The paper reports development and experimental evaluation of a fuzzy-logic method to locate a mobile node/robot using inter-node range measurements estimated from RF signal strength attenuation. Compared with a probabilistic technique, the fuzzy approach is r…

Study snapshot

PublicationSensors (Basel, Switzerland) · 2011

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

This work presents the development and experimental evaluation of a method based on fuzzy logic to locate mobile robots in an Intelligent Space using wireless sensor networks (WSNs). The problem consists of locating a mobile node using only inter-node range measurements, which are estimated by radio frequency signal strength attenuation. The sensor model of these measurements is very noisy and unreliable. The proposed method makes use of fuzzy logic for modeling and dealing with such uncertain information. Besides, the proposed approach is compared with a probabilistic technique showing that the fuzzy approach is able to handle highly uncertain situations that are difficult to manage by well-known localization methods.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureRF

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

Outcomes measured

Mobile robot positioning/localization performance in intelligent spaces using WSN RSSI-based ranging
Comparison of fuzzy-logic localization vs probabilistic technique under noisy/unreliable RF signal strength attenuation measurements

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": "RF",
    "source": "wireless sensor networks",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Mobile robot positioning/localization performance in intelligent spaces using WSN RSSI-based ranging",
    "Comparison of fuzzy-logic localization vs probabilistic technique under noisy/unreliable RF signal strength attenuation measurements"
  ],
  "main_findings": "The paper reports development and experimental evaluation of a fuzzy-logic method to locate a mobile node/robot using inter-node range measurements estimated from RF signal strength attenuation. Compared with a probabilistic technique, the fuzzy approach is reported to better handle highly uncertain situations with noisy and unreliable measurements.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "fuzzy logic",
    "mobile robot",
    "positioning",
    "localization",
    "intelligent space",
    "wireless sensor networks",
    "RF signal strength",
    "attenuation",
    "range measurements",
    "probabilistic technique"
  ],
  "suggested_hubs": []
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.3390/s111110820
PubMed: 22346673

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