Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 20, Pages: 1-10
Zahid Yousif1*, Intesab Hussain1, Sajida Parveen2, Farhana Umer3 and Nadeem Naeem4
1Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah − 67450, Sindh, Pakistan; [email protected], [email protected]
2Department of Computer Systems Engineering, Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah − 67450, Sindh, Pakistan; [email protected]
3 Department of Electrical Engineering, Islamia University, Bahawalpur, Punjab, Pakistan; [email protected]
4Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah − 67450, Sindh, Pakistan; [email protected]
*Author for correspondence
Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah − 67450, Sindh, Pakistan.
Email: [email protected]
Background/Objectives: The capabilities of vehicular communications technology is ever expanding and due to this reason, vehicular Ad-hoc networks are known as the most essential devices for significant progressions in modern era. The main purpose is to entertain, to ensure safety and take precautionary measures in case of emergency. The enhanced network performance is always subjected to efficient routing in the networks. In fact, routing information is based on the routing protocols in every network system. This research aims to modify further to improve the implementation of routing protocols including Ad hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR) and Dynamic MANET On-demand (DYMO) intended for VANETS which are viewed as progressively helpful and appropriate for Ad-hoc systems. Methods: The upgraded adaptation of AODV, DSR and DYMO are called as MOD-AODV, MOD-DSR and MOD-DYMO. Ad-hoc networks specifically in VANETs rely on simulation because of the complication and level of intricacy in deployment of such networks. However, for validation of such proposals the most important and representative factors are overlooked during the experiments. Moreover, a statistical analysis is presented that is based on 2K factorial that revealed the technique so as to decide the most extreme model viewpoints influencing the working of routing protocols under the system density and traffic loads. Three reactive routing protocols including Packet Delivery Ratio (PDR), Average End-to-End Delay (AE2ED) and Network Routing Overhead (NRO) are selected to break down the execution for the implementation of estimating parameters. Findings: At last, the outcomes show that at the expense of higher NRO, MOD-DYMO accomplished the better PDR and AE2ED than other routing protocols on varying nodes thickness and number of Constant Bit Rate (CBR) connections in all considered scenarios.
Keywords: Optimized Link State Routing (OLSR), Routing, Routing Congestion, Wireless Multi-hop
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