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William Leslie Brown-Acquaye on Muck Rack

William Leslie Brown-Acquaye

As seen in: MDPI
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Articles

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network

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By Emmanuel Freeman, William Leslie Brown-Acquaye, Gaddafi Abdul-Salaam, Patrick Acheampong
| MDPI
1. Introduction Wireless Sensor Network (WSN) comprises independent sensors deployed across a geographical area to collect and share data or information through wireless communication channels [1]. These sensors are deployed to observe physical or environmental properties like vibration, pressure, temperature, sound, motion, or pollutants. The sensors can collaborate to transmit data to a central point within the network known as the sink node (SN) or base station (BS) [2].
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Entrop-Hesitationistic-Fuzz-TOPSIS: A Novel Entropy Based Hesitant Intuitionistic Fuzzy TOPSIS for Web Service Optimization

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By Paul Aazagreyir, James Ami-Narh, William Leslie Brown-Acquaye
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 30 June 2024 / Approved: 8 July 2024 / Online: 9 July 2024 (03:10:15 CEST) Aazagreyir, P.; Ami-Narh, J.; Brown-Acquaye, W. L. Entrop-Hesitationistic-Fuzz-TOPSIS: A Novel Entropy Based Hesitant Intuitionistic Fuzzy TOPSIS for Web Service Optimization. Preprints 2024, 2024070643. https://doi.org/10.20944/preprints202407.0643.v1 Aazagreyir, P.; Ami-Narh, J.; Brown-Acquaye, W. L.
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