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Rarraba Albarkatun da ba ta Tsakiya ba don Ci gaba daga Gefen zuwa Girgije tare da Sanin Motsi

Wani sabon tsari na ingantawa wanda ba shi da cibiya don rarraba albarkatun gefen-zuwa-girgije, ajiye aiki, da daidaita kaya a aikace-aikacen wayar hannu.
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1. Gabatarwa

Canjin wayar hannu na zamani ba shi da misali tare da motoci masu zaman kansu, masu raba kaya, da na lantarki masu haɗin kai waɗanda ke haifar da sabbin hanyoyin zirga-zirga da buƙatun lissafi na ainihi a babban sikelin. Tsarin lissafi na girgije ba zai iya amsa buƙatun ƙarancin jinkiri ba, kuma baya daidaita rarraba albarkatun ga buƙatun sabis na lokaci-lokaci mai sauƙi. Wannan takarda ta gabatar da wani sabon tsari na ingantawa mara cibiya don rarraba albarkatun gefen-zuwa-girgije mai sanin motsi wanda ke ba da damar 'lissafi yana bin motoci'.

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2. Hanyar Aiki

2.1 Tsarin Ingantawa mara Cibiya

Tsarin da aka gabatar yana amfani da tsarin mai-saka idanu da yawa inda kowane kullin gefe yake aiki da kansa yayin da yake haɗin kai tare da maƙwabta. Wannan hanyar da aka rarraba tana kawar da maki guda na kasawa kuma tana ba da damar daidaitawa cikin gaggua ga tsarin motsin mota.

2.2 Samar da Sabis mai Sanin Motsi

Tsarin yana hasashen hanyoyin mota ta amfani da bayanan motsi na tarihi da kuma sanya matsayi na ainihi don fara rarraba albarkatun lissafi tare da hanyoyin da ake tsammani, yana tabbatar da ci gaba da sabis mara katsewa.

3. Aiwarta ta Fasaha

3.1 Tsarin Lissafi

An tsara matsalar rarraba albarkatun a matsayin matsala ta ingantawa mai iyaka wacce ke rage jinkiri yayin da take haɓaka amfani da albarkatun:

$$\min_{x} \sum_{i=1}^{N} \sum_{j=1}^{M} c_{ij} x_{ij} + \lambda \sum_{k=1}^{K} (u_k - \bar{u})^2$$

Ya ƙunshi: $$\sum_{j=1}^{M} x_{ij} = 1, \forall i$$ $$\sum_{i=1}^{N} r_i x_{ij} \leq R_j, \forall j$$ $$x_{ij} \in \{0,1\}$$

Inda $c_{ij}$ ke wakiltar farashin sadarwa, $x_{ij}$ shine yanke shawara na rarrabawa, $u_k$ shine amfani da kullin $k$, kuma $r_i$, $R_j$ buƙatun albarkatu da iyawa ne.

3.2 Zane na Algorithm

Algorithm ɗin da ba shi da cibiya yana amfani da haɗin kai na yarjejeniya tsakanin kullukan gefe:

class MaiRarraba mai Sanin Motsi:
    def __init__(self, id_na_kulli, maƙwabta):
        self.id_na_kulli = id_na_kulli
        self.maƙwabta = maƙwabta
        self.yanayin_albarkatu = {}
        
    def hasashen_buƙata(self, hanyoyin_mota):
        # Hasashen buƙatar lissafi bisa motsin mota
        taswirar_buƙata = {}
        for mota in hanyoyin_mota:
            kullukan_da_ake_tsammani = self.hasashen_hanya(mota.matsayi)
            for kulli in kullukan_da_ake_tsammani:
                taswirar_buƙata[kulli] += mota.buƙatar_lissafi
        return taswirar_buƙata
    
    def daidaita_rarrabawa(self, buƙata_na_ciki):
        # Haɗin kai tare da maƙwabta don mafi kyawun rarrabawa
        yanayi_na_maƙwabta = self.musanya_yanayi()
        shirin_rarrabawa = self.ingantawar_yardaje(buƙata_na_ciki, yanayi_na_maƙwabta)
        return shirin_rarrabawa

4. Sakamakon Gwaji

An kimanta tsarin ta amfani da bayanan zirga-zirga na ainihi daga hanyoyin sadarwa na sufuri na Burtaniya. Ma'aunin aiki mai mahimmanci sun haɗa da:

  • Rage Bambancin Amfani: Fiye da sau 40 inganci idan aka kwatanta da hanyoyin da ke da cibiya
  • Keta Ranar Ƙarshen Sabis: Ragewar keta ranar ƙarshe daga 14%-34%
  • Ingancin Makamashi: Ceton makamashi daga 14% zuwa fiye da 80% idan aka kwatanta da tsarin girgije kawai

Kwatancen Aiki: Bambancin Amfani

Hanyar da ba ta da cibiya ta nuna ƙaramin bambanci a amfani a duk kullukan gefe, yana nuna mafi kyawun daidaita kaya da rarraba albarkatu.

5. Bincike & Tattaunawa

Tsarin da aka gabata na 'lissafi yana bin motoci' yana wakiltar babban ci gaba a cikin binciken ci gaba daga gefe zuwa girgije. Ba kamar hanyoyin rarraba albarkatun tsayayye na al'ada ba, wannan tsarin yana daidaitawa da tsarin motsin mota cikin sauƙi, yana magance ƙalubalen asali na bambancin buƙatun sabis na lokaci-lokaci. Hanyar ingantawa mara cibiya ta samo kwarin gwiwa daga algorithm ɗin yarjejeniya da aka rarraba makamancin waɗanda ake amfani da su a cikin tsarin blockchain, amma an daidaita su don sarrafa albarkatun cikin gaggua a cikin yanayin wayar hannu.

Idan aka kwatanta da hanyoyin lissafi na girgije masu cibiya, rarrabawar mai sanin motsi tana rage jinkiri ta hanyar fara sanya albarkatun lissafi tare da hanyoyin mota da aka hasashe. Wannan ra'ayi ya yi daidai da sabbin abubuwan da ke faruwa a cikin lissafi na annashuwa, inda tsarin ke hasashen buƙatun gaba maimakon mayar da martani ga na yanzu. Tsarin lissafi ya haɗa da farashin sadarwa da maƙasudan daidaita kaya, yana haifar da ingantawa mai maƙasudai da yawa wanda ke nuna ƙuntatawa na aiki na ainihi.

Sakamakon gwaji ya nuna gagarumin ci gaba a cikin ma'auni masu mahimmanci. Ragewar bambancin amfani sau 40 yana nuna mafi kyawun rarraba kaya a cikin kayan aikin gefe, yana hana daga yawan tanadi da ƙarancin amfani. Wannan ribar inganci tana da mahimmanci musamman saboda damuwar amfani da makamashi a cikin ICT, wanda ya riga ya wuce 10% na amfani da makamashi na duniya bisa ga Hukumar Makamashi ta Duniya. Ikon tsarin na rage keta ranar ƙarshen sabis daga 14%-34% yana magance mahimman buƙatun QoS don aikace-aikace masu mahimmanci na aminci kamar kewayawar mota mai cin gashin kanta da sarrafa zirga-zirga cikin gaggua.

Wannan bincike yana ba da gudummawa ga fagen da ya fi fadi na ingantawar tsarin da aka rarraba, yana ginawa akan hanyoyin da aka kafa a cikin ayyukan farko kamar takardar CycleGAN (Zhu et al., 2017) wanda ya nuna ƙarfin koyon da ba a kulaba don daidaita yanki. Hakazalika, wannan tsarin yana daidaita albarkatun lissafi zuwa yankin motsi na mota mai sauƙi ba tare da buƙatar kulawa a sarari ba. Hanyar kuma ta yi daidai da manufofin Hukumar Turai don motsi mai dorewa da kuma maƙasudan sifili na Burtaniya ta hanyar inganta amfani da albarkatun da rage amfani da makamashi ta hanyar rarraba kaya mai hikima.

Mahimman Fahimta

  • Rarraba albarkatun mai sauƙi yana daidaitawa da tsarin motsin mota na ainihi
  • Hanyar da ba ta da cibiya tana kawar da maki guda na kasawa
  • Gagarumin ci gaba a cikin daidaita kaya da ingancin makamashi
  • An rage keta sabis don aikace-aikace masu mahimmanci na lokaci

6. Aikace-aikace na Gaba

Tsarin rarraba albarkatun mai sanin motsi yana da aikace-aikace masu faɗi fiye da mahallin kai tsaye na hanyoyin sadarwa na mota:

  • Kayan Aikin Birane masu wayo: Rarrabawa mai sauƙi don na'urorin IoT a cikin yanayin birane
  • Tsarin Mayar da Martani na Gaggawa: Gudanar da albarkatun cikin gaggua don yanayin bala'i
  • Hanyoyin Sadarwa na 5G/6G: Haɗin kai tare da rarraba albarkatun hanyar sadarwar wayar hannu
  • Hanyoyin Sadarwa na Jirage marasa Matuki: Haɗin kai na lissafi don garken UAV
  • IoT na Masana'antu: Gudanar da albarkatun mai daidaitawa a cikin masana'antu masu wayo

Hanyoyin bincike na gaba sun haɗa da haɗa koyon inji don ingantaccen hasashen hanya, faɗaɗa tsarin don tallafawa koyo na tarayya a duk kullukan gefe, da haɓaka API ɗin daidaitattun don haɗin kai tsakanin dandamalin lissafi na gefe daban-daban.

7. Bayanan da aka ambata

  1. Z. Nezami, E. Chaniotakis, da E. Pournaras, "Lokacin da Lissafi ya bi Motoci: Rarraba Albarkatun da ba ta Tsakiya ba don Ci gaba daga Gefen zuwa Girgije tare da Sanin Motsi"
  2. J. Zhu da saur., "Fassarar Hotuna-zuwa-Hotuna mara Biyu ta amfani da Cibiyoyin Adawa na Zagaye-Ma'ana," ICCV, 2017.
  3. M. Satyanarayanan, "Fitowar Lissafi na Ge," Kwamfuta, 2017.
  4. Hukumar Makamashi ta Duniya, "Digitalisation da Makamashi," 2017.
  5. Hukumar Turai, "Dabarun Motsi mai Dorewa da Wayo," 2020.
  6. Ma'aikatar Sufuri ta Burtaniya, "Kididdigar Sufuri da Muhalli 2021"
  7. Y. Mao da saur., "Bincike akan Lissafi na Ge na Wayar Hannu," IEEE Communications Surveys & Tutorials, 2017.