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Mobility-Aware GPCR-MA for Vehicular Ad hoc Routing Protocol for Highways Scenario

Mobility-Aware GPCR-MA for Vehicular Ad hoc Routing Protocol for Highways Scenario

Naziya Hussain, Priti Maheshwary, Piyush Kumar Shukla, Anoop Singh
Copyright: © 2018 |Volume: 8 |Issue: 4 |Pages: 19
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781522544593|DOI: 10.4018/IJOCI.2018100103
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MLA

Hussain, Naziya, et al. "Mobility-Aware GPCR-MA for Vehicular Ad hoc Routing Protocol for Highways Scenario." IJOCI vol.8, no.4 2018: pp.47-65. http://doi.org/10.4018/IJOCI.2018100103

APA

Hussain, N., Maheshwary, P., Shukla, P. K., & Singh, A. (2018). Mobility-Aware GPCR-MA for Vehicular Ad hoc Routing Protocol for Highways Scenario. International Journal of Organizational and Collective Intelligence (IJOCI), 8(4), 47-65. http://doi.org/10.4018/IJOCI.2018100103

Chicago

Hussain, Naziya, et al. "Mobility-Aware GPCR-MA for Vehicular Ad hoc Routing Protocol for Highways Scenario," International Journal of Organizational and Collective Intelligence (IJOCI) 8, no.4: 47-65. http://doi.org/10.4018/IJOCI.2018100103

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Abstract

Vehicular ad hoc network systems are highly important experiments because of enthusiastically exchanging information and symmetric relations of systems. The best transmitting device supports a successful arrangement of networks. This article presents GPCR-MA mobility aware routing protocol concepts based on the Gauss Markov Mobility and Freeway Model. This concept is applied on highway networks because highways have a number of road segment and junctions. The performance of this experiment is verified based on the QoS parameter performance between of the mobility model, which is presented based on their mathematical modeling and simulation structure. After comparing the mobility model based on the parameters: network delay, energy consumption, average throughput and packet delivery ratio, a Freeway mobility model is better in terms of network delay and packet delivery ratio and Gauss Markov model, is better in terms of throughput because it works on broken links in the network, based on rapidly changes in simulation time and increased network traffic length.

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