Nancy Gulati

Dr. Nancy Gulati

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2019 in Ad Hoc Networks
Verified
Journal Article
Closed access
NGNancy Gulati
Nancy Gulati
PKPankaj Deep Kaur
Pankaj Deep Kaur

16 April 2021 in Journal of Ambient Intelligence and Humanized Computing
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Journal Article
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NGNancy Gulati
Nancy Gulati
PKPankaj Deep Kaur
Pankaj Deep Kaur

12 July 2018 in Advances in Intelligent Systems and Computing
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Book Chapter
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NGNancy Gulati
Nancy Gulati
PKPankaj Deep Kaur
Pankaj Deep Kaur

27 February 2021
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Book Chapter
Closed access
PDF file
NGNancy Gulati
Nancy Gulati
PKPankaj Deep Kaur
Pankaj Deep Kaur

29 August 2026 in Sensors
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Journal Article
Open access
PDF file
NGNancy Gulati
Nancy Gulati
TJTahir Jauhar
Tahir Jauhar
Gabriel LodewijksGabriel Lodewijks
Gabriel Lodewijks
MCMichael Carr
Michael Carr
CWCraig Wheeler
Craig Wheeler
Wireless sensing inside rotating industrial machines is challenging due to signal attenuation, multipath propagation, and continuous sensor motion. Smart particles equipped with wireless communication and inertial sensors provide a promising approach for monitoring such systems. However, the reliability of wireless signal transmission under rotational dynamics remains insufficiently understood, and systematic approaches for sensor selection are lacking. This paper presents a link-budget-normalised experimental characterisation of three commercial smart particles, namely MetaMotionS (BLE), WitMotion BLE, and WitMotion Wi-Fi, in a bare 300 mm diameter by 310 mm deep metallic drum fitted with six triangular lifters, at rest and at 16, 18, and 20 RPM, corresponding to 20.7–25.9% of the critical speed and Froude numbers of 0.043–0.067. Because raw received power conflates transmit power with channel behaviour, the comparison is expressed as excess path loss above free space together with second-order fading statistics. Two particles of the same protocol class differ by 23.9 dB, of which at most 4 dB is attributable to the transmission of power across the documented range of both radios, establishing that device implementation rather than protocol class governs the ranking. Two particles logged simultaneously through a single receiver observe one channel realisation, and the correlation between their signal fluctuations is not significantly different from zero at any speed (r = +0.064, −0.098, −0.083), indicating device-specific rather than environmental fading. Under rotation, the Wi-Fi particle holds an RSSI standard deviation of 1.96 dB against 6.27 and 6.58 dB for the two BLE particles (Welch ANOVA, p < 0.001; Games–Howell post hoc, all pairwise comparisons p < 0.001; |Cliff’s δ| > 0.96). A bounded, dimensionless multi-criteria selection procedure over link margin, signal variability, cross-speed consistency, packet delivery, and energy per delivered packet is introduced; the ranking is invariant under weighted-sum and TOPSIS aggregation but inverts once endurance carries a weight above 0.35, which quantifies the trade-off between link quality and battery life. Coupling between the wireless and motion streams is examined by folding both onto rotation phase. A rotation-locked component in RSSI is detected in one of nine sensor–speed combinations, with a maximum modulation amplitude of 0.92 dB. The RSSI logging cadence of approximately 1 Hz resolves the drum fundamental but lies below the Nyquist requirement for the dominant motion band at 0.91–1.04 Hz, so joint wireless–motion studies of rotating machinery require RSSI logging at 5 Hz or above on a clock shared with the inertial unit.