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A new version of the greedy perimeter stateless routing scheme in flying ad hoc networks

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F24%3A%230001130" target="_blank" >RIV/04274644:_____/24:#0001130 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S1319157824001551?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1319157824001551?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jksuci.2024.102066" target="_blank" >10.1016/j.jksuci.2024.102066</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A new version of the greedy perimeter stateless routing scheme in flying ad hoc networks

  • Popis výsledku v původním jazyce

    Flying ad hoc networks (FANETs) belong to the family of mobile ad hoc networks (MANETs). They have gained high popularity due to their extensive applications in various industries such as emergency management, military missions, and supervision. However, these networks face important challenges in guaranteeing reliable data transmission because of their dynamic nature and lack of infrastructure. In this paper, a new version of the greedy perimeter stateless routing scheme called GPSR+AODV is proposed in FANET. It combines two routing schemes, namely GPSR and AODV, and is a family member of geographic routing methods. In GPSR+AODV, each UAV consists of a certain hello broadcast period that is adjusted based on the prediction of its spatial coordinates in the future. Additionally, GPSR+AODV modifies the greedy forwarding process and restricts the search space for finding the next-hop node by obtaining a refined candidate set, calculated in the cylindrical coordinate system. Then, each UAV in the refined candidate set is evaluated under a fitness function, and the most suitable next-hop node with the maximum fitness is determined. This function is a combination of four criteria, namely relative velocity, energy level, buffer capacity, and distance to destination. When failing in the greedy forwarding process, GPSR+AODV changes the forwarding technique and uses an AODV-based perimeter forwarding technique to select the best next-hop node. Lastly, GPSR+AODV is implemented by the NS2 simulator, and the simulation results show a successful performance in terms of packet delivery rate, throughput, and delay compared to AGGR, AeroRP, and GPSR. However, the routing overhead in the proposed scheme is higher than that in AGGR.

  • Název v anglickém jazyce

    A new version of the greedy perimeter stateless routing scheme in flying ad hoc networks

  • Popis výsledku anglicky

    Flying ad hoc networks (FANETs) belong to the family of mobile ad hoc networks (MANETs). They have gained high popularity due to their extensive applications in various industries such as emergency management, military missions, and supervision. However, these networks face important challenges in guaranteeing reliable data transmission because of their dynamic nature and lack of infrastructure. In this paper, a new version of the greedy perimeter stateless routing scheme called GPSR+AODV is proposed in FANET. It combines two routing schemes, namely GPSR and AODV, and is a family member of geographic routing methods. In GPSR+AODV, each UAV consists of a certain hello broadcast period that is adjusted based on the prediction of its spatial coordinates in the future. Additionally, GPSR+AODV modifies the greedy forwarding process and restricts the search space for finding the next-hop node by obtaining a refined candidate set, calculated in the cylindrical coordinate system. Then, each UAV in the refined candidate set is evaluated under a fitness function, and the most suitable next-hop node with the maximum fitness is determined. This function is a combination of four criteria, namely relative velocity, energy level, buffer capacity, and distance to destination. When failing in the greedy forwarding process, GPSR+AODV changes the forwarding technique and uses an AODV-based perimeter forwarding technique to select the best next-hop node. Lastly, GPSR+AODV is implemented by the NS2 simulator, and the simulation results show a successful performance in terms of packet delivery rate, throughput, and delay compared to AGGR, AeroRP, and GPSR. However, the routing overhead in the proposed scheme is higher than that in AGGR.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of King Saud University - Computer and Information Sciences

  • ISSN

    1319-1578

  • e-ISSN

    2213-1248

  • Svazek periodika

    36

  • Číslo periodika v rámci svazku

    5

  • Stát vydavatele periodika

    SA - Království Saúdská Arábie

  • Počet stran výsledku

    18

  • Strana od-do

    1-18

  • Kód UT WoS článku

    001247586300001

  • EID výsledku v databázi Scopus

    2-s2.0-85194335862