PATHFINDING IN WIRELESS NETWORKS OF AODV AND OLSR PROTOCOLS

Authors

  • Roslinda Muda Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Norlina Udin @ Kamaruddin Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Muhammad Syhakirin Yahya Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Nur Adibah Nadirah Mohd Salihin Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Prakash A/L Gobi Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Nurul Syafiqah Ramli Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Abdul Malik Zainodin Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Nur Nasyreen Afifi Basir Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia
  • Nor Aida Mahiddin East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin, Malaysia
  • Maizan Mat Amin Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia

DOI:

https://doi.org/10.37231/myjcam.2024.7.2.134

Keywords:

Mobile Ad Hoc Network, Routing Protocol, AODV, OLSR

Abstract

Mobile ad hoc networks (MANETs) have gained attention for their decentralized approach to communication without traditional infrastructure. MANETs communication is crucial, allowing smartphones to interact directly. Routing protocols play a key role in creating effective communication paths, addressing challenges posed by dynamic topologies. This study examines specific routing protocols tailored for smartphone ad hoc networks, considering dynamic conditions and integrating Wi-Fi and LTE technologies for robust communication. Case studies highlight their potential in disaster monitoring, road safety, and limited internet access scenarios. Routing protocols like Ad-hoc On-Demand Distance Vector (AODV) and Optimised Link State Protocol (OLSR) dynamically discover routes, and evaluations show satisfactory quality of services (QoS) with metrics like throughput and packet loss. Future research is needed for optimal network performance, emphasizing collaboration among researchers, industry stakeholders, and institutions to unlock the full potential of smartphone ad hoc networks.

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Published

2024-09-30