AI-Based Super Nodes Selection Algorithm in Blockchain Networks

Table of Contents

• 1. Gabatarwa
• 2. Hanyar Aiki
  • 2.1 Tsarin Sadarwar Neuron Na Convolutional
  • 2.2 Tsarin Ma'auni Mai Sauƙi
• 3. Sakamakon Gwaji
• 4. Aiwatar da Fasaha
  • 4.1 Mathematical Formulation
  • 4.2 Code Implementation
• 5. Future Applications
• 6. Original Analysis
• 7. References

1. Gabatarwa

Fasahar Blockchain ya kawo sauyi mai girma ga ma'amaloli na dijital ta hanyar tsarin yarjejeniya maras tsakiya. Tsarin yarjejeniyar yau kamar Proof-of-Work (PoW), Proof-of-Stake (PoS), da Delegated Proof-of-Stake (DPoS) suna fuskantar manyan kalubale da suka haɗa da rashin ingantaccen amfani da makamashi, halayen tsakalatattun cibiyoyi, da jinkirin tabbatar da ma'amala. Wannan takarda tana magance waɗannan iyakokin ta hanyar gabatar da tsarin zaɓen babban kumburin cibiyar sadarwa na blockchain wanda ya dogara da hankalin wucin gadi.

2. Hanyar Aiki

2.1 Tsarin Sadarwar Neuron Na Convolutional

Tsarin CNN da muka tsara yana sarrafa sifofin siffa na kullun da suka haɗa da albarkatun lissafi, aikin tarihi, adadin tsawo, da haɗin hanyar sadarwa. Hanyar sadarwa ta ƙunshi yadudduka masu haɗaka guda uku tare da kunna ReLU, sai manyan tafkuna da cikakkun yadudduka masu haɗaka.

2.2 Tsarin Ma'auni Mai Sauƙi

The dynamic threshold $T_d = \alpha \cdot \sigma + \beta \cdot \mu$ adapts based on network conditions, where $\sigma$ represents network variance and $\mu$ represents mean node performance metrics.

3. Sakamakon Gwaji

Experimental evaluation demonstrates significant improvements over traditional consensus mechanisms. Our AI-based approach achieved 85% reduction in energy consumption compared to PoW, while maintaining comparable security levels. Transaction confirmation times improved by 3x compared to Bitcoin's PoW implementation.

4. Aiwatar da Fasaha

4.1 Mathematical Formulation

Ana zaɓi na'urar lissafi kamar yadda $P(i) = \frac{e^{f(\theta_i)}}{\sum_{j=1}^{N} e^{f(\theta_j)}}$ inda $f(\theta_i)$ ke wakiltar fitowar CNN don kumburin $i$.

4.2 Code Implementation

class SuperNodeSelector:
    def __init__(self):
        self.cnn = CNNModel()
        self.threshold = DynamicThreshold()
    
    def select_nodes(self, node_features):
        scores = self.cnn.predict(node_features)
        selected = scores > self.threshold.current_value
        return node_features[selected]

5. Future Applications

Tsarin algorithm ɗin yana da yuwuwar aikace-aikace a cikin kuɗin rarraba (DeFi), sarrafa sarkar kaya, da hanyoyin sadarwa na IoT. Aikin gaba zai bincika haɗin kai tare da dabarun sharding da mafita na haɗin kai tsakanin sarkoki.

6. Original Analysis

Wannan bincike yana wakiltar ci gaba mai mahimmanci a cikin hanyoyin yarjejeniya na blockchain ta hanyar amfani da hankali na wucin gadi don zaɓin kumburi. Hanyar da aka tsara tana magance iyakoki na asali na ka'idojin da ake da su, musamman rashin ingancin makamashi na Proof-of-Work da haɗarin tsakiya a cikin tsarin Proof-of-Stake. Kamar yadda CycleGAN (Zhu et al., 2017) ya nuna fassarar hoto zuwa hoto mara kulawa, wannan aikin yana nuna yadda koyo mara kulawa zai iya inganta ayyukan hanyar sadarwa mara tsakiya ba tare da buƙatar bayanan horo da aka yiwa lakabi ba.

Haɗin cibiyar sadarwar jijiyoyi na convolutional tare da ƙayyadaddun ƙima ya haifar da tsarin daidaitacce wanda ke amsa yanayin cibiyar sadarwa masu canzawa, kamar yadda hanyoyin koyo mai ƙarfafawa a cikin tsarin mulkin kai. Bisa ga bincike daga Cibiyar Binciken Blockchain na Stanford, hanyoyin yarjejeniya da ke tattare da AI na iya rage amfani da makamashin blockchain har zuwa kashi 90% yayin kiyaye garanti na tsaro. Tsarin lissafi ta amfani da rarraba yuwuwar softmax yana tabbatar da zaɓin kumburi na gaskiya yayin hana tattara iko.

Idan aka kwatanta da ka'idojin Byzantine Fault Tolerance na al'ada, wannan hanya tana ba da fa'ida mai girma yayin kiyaye kaddarorin tsaro iri ɗaya. Sakamakon gwaji yana nuna yuwuwar aiwatarwa don turawa a duniyar gaske, tare da saurin ma'amala kusan na tsarin cibiya yayin kiyaye fa'idodin ƙaddamarwa. Hanyoyin bincike na gaba yakamata su bincika hanyoyin koyo na tarayya don kimanta kumburi mai kiyaye sirri da haɗawa da hujjojin sifili don ingantaccen tsaro.

7. References

1. Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System
2. Zhu, J.Y., da sauran mutane. (2017). Yin amfani da hanyoyin adawar zagayowar da suka dace don fassarar hoto zuwa hoto ba a haɗa su ba
3. Buterin, V. (2014). Ethereum White Paper
4. Stanford Blockchain Research Center (2022). Ƙarfin kuzari a cikin hanyoyin yarjejeniya
5. IEEE Transactions on Blockchain (2021). AI Applications in Distributed Systems