1
Faculty of Art and Design, UniversitiTeknologi MARA, Shah Alam, Malaysia
2
Universiti Putra Malaysia
3
Cluster of Education and Social Sciences, Open University Malaysia
Abstract
In this study, the proposedrouting protocol can be improved further by formulating amechanism to help nodes gain further knowledge of othersinside the network. Without exchanging further message andextra processing burden on nodes, the primary challenge wasto enhance the routing protocol, but always kept an eye onavoiding any alteration to the well-designed routing protocoland trying the best not to cause extra overhead that preventsthe enhancement from achieving its goal. Overall, we canconclude that simulation for MD-AODV shows the correctimplementation of the algorithm and the performance metricresults proves the success of the implementation. Thesimulation result also shows previous two that MD-AODVwill cause a slight increase in route discovery. However, itleads to a better End-to-End delay during data transmission.
Saad, Z., Razale, M., & Nordin, M. (2021). Routing Protocol Simulation In A Big Data Environment. Int. J. of Aquatic Science, 12(1), 114-123.
MLA
ZulfadliMohd Saad; MohdHafizuddin Razale; MohdNorazmi Nordin. "Routing Protocol Simulation In A Big Data Environment". Int. J. of Aquatic Science, 12, 1, 2021, 114-123.
HARVARD
Saad, Z., Razale, M., Nordin, M. (2021). 'Routing Protocol Simulation In A Big Data Environment', Int. J. of Aquatic Science, 12(1), pp. 114-123.
VANCOUVER
Saad, Z., Razale, M., Nordin, M. Routing Protocol Simulation In A Big Data Environment. Int. J. of Aquatic Science, 2021; 12(1): 114-123.
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