mca 21(18): e5

Research Article

Multi-greedy geographic packets forwarding using flow-based indicators

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  • @ARTICLE{10.4108/eai.13-5-2021.169914,
        author={G. Oladeji-Atanda and D. Mpoeleng and F. J. Ogwu},
        title={Multi-greedy  geographic  packets  forwarding  using  flow-based indicators},
        journal={EAI Endorsed Transactions on Mobile Communications and Applications},
        volume={6},
        number={18},
        publisher={EAI},
        journal_a={MCA},
        year={2021},
        month={5},
        keywords={mobile environments, wireless communication, routing protocols, network, greedy packet forwarding},
        doi={10.4108/eai.13-5-2021.169914}
    }
    
  • G. Oladeji-Atanda
    D. Mpoeleng
    F. J. Ogwu
    Year: 2021
    Multi-greedy geographic packets forwarding using flow-based indicators
    MCA
    EAI
    DOI: 10.4108/eai.13-5-2021.169914
G. Oladeji-Atanda1,*, D. Mpoeleng1, F. J. Ogwu2
  • 1: Department of Computer Science and Information Systems, Botswana International University of Science and Technology
  • 2: Department of Computer Science, University of Nigeria, Nsukka, Nigeria
*Contact email: oladejiatanda@studentmail.biust.ac.bw

Abstract

The MANET packet routing method of geographic greedy forwarding involves the selection of distance reducing intermediate relays towards a destination. The efficacy of the greedy methods differs and varies; nevertheless, the algorithms are similar and process the same data at a forwarding node. Their commonalities potentially allow the online assignment of different methods for more efficient progress forwarding in heterogeneous MANET environments. We define a multimethod multi-greedypacket forwarding approach in this paper. Using the IPFIX packet flow measures, we demonstrate the multi-greedy scheme for the performance of repetitive packet routing tasks that permit exploration-exploitation application. The flows report reveal the optimal efficiency of each base greedy method in each flow which aggregates to the multi-greedy design. In comparison to the base methods, the case multi-greedy methods show considerable performance improvement in PDR, hop-count, and delay measures.