Machine learning based lightweight interference mitigation scheme for wireless sensor network
[...]there is a need for agile methods that assess the channel conditions and apply actions to maximize communication success. [...]the interference mitigating methods need to be adaptive and self-aware to the changes in the interference. [...]due to WSN being a small, embedded, low-power network, i...
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Veröffentlicht in: | Telkomnika 2020-08, Vol.18 (4), p.1762-1770 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | [...]there is a need for agile methods that assess the channel conditions and apply actions to maximize communication success. [...]the interference mitigating methods need to be adaptive and self-aware to the changes in the interference. [...]due to WSN being a small, embedded, low-power network, interference mitigating methods need to be lightweight. 2.RELATED WORKS The topic of interference identification and mitigation are becoming popular in recent years in the field of WSN due to overcrowding of ISM band and increasing use of WSN especially as a sub platform for IoT applications. All these mechanism lack the ability to reduce or manage interference among different technologies as they have been designed without considering the issue of coexistence. The average output power of microwave oven is 800 Watt and emitted wave has a bandwidth of approximately 5 MHz. [...]if a WSN operates at a frequency close to the center frequency of 2.4 GHz, it will experience an enlarged packet drop due to interference from microwave leakage. |
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ISSN: | 1693-6930 2302-9293 |
DOI: | 10.12928/telkomnika.v18i4.14879 |