Abstract
Multitask networks version of the conventional Incremental Least Mean Square (ILMS) is developed and implemented over Wireless Sensor Networks (WSN). The concept of Code Division Multiple Access (CDMA) is adopted to extract a particular task or estimate solution successfully among different clusters. In addition, diffusion-based approaches of ILMS CDMA algorithm called the Combine-Then-Adapt (CTA) and the Adapt-Then-Combine (ATC) are developed which allow data exchanging among the neighbouring nodes to enhance the performance. As expected, the simulation results of ILMS CDMA topology consisting of 7 nodes that grouped in 3 clusters converged to -35 dB of Mean Square Error (MSE) and -47.75 dB of Mean Square Deviation (MSD), while the MSD performance of CTA and ATC approaches settled down to -50.32 dB and -51.52 dB, respectively, indicating performance enhancement of -2.6 dB and -3.8 dB.
| Original language | English |
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| Title of host publication | 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665437738 |
| DOIs | |
| State | Published - 2021 |
Publication series
| Name | 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021 |
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Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Channel estimation
- Code division multiple access (cdma)
- Incremental least mean square (ilms)
- Mean square deviation (msd)
- Mean square error (mse)
- Multitask networks
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Aerospace Engineering
- Electrical and Electronic Engineering
- Instrumentation