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Trushna Khatri

Bio: Trushna Khatri is an academic researcher from Uka Tarsadia University. The author has contributed to research in topics: Ad hoc On-Demand Distance Vector Routing & Routing protocol. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Papers
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Proceedings ArticleDOI
11 May 2017
TL;DR: This paper explores some of the modified AODV routing protocol modifications that have been done in the mostly used routing protocol, A ODV to address link breakage.
Abstract: An ad hoc network is a network that is composed of individual devices communicating with each other directly. It does not rely on a base station to coordinate the flow of messages to each node in the network, the individual network nodes forward packets to and from each other. As nodes can unreservedly freely in the network, ad-hoc network has the characteristic of dynamic topology. Due to this, link breakage happens frequently. To address this issue, various modifications have been done in the mostly used routing protocol, AODV. This paper explores some of the modified AODV routing protocol.

1 citations


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Book ChapterDOI
30 Oct 2019
TL;DR: This proposed CPAODV method performs better when compared to traditional AODV and CBAODV algorithm when there are shortest path and link lifetime between the nodes in VANET.
Abstract: Vehicles communicate with nearby vehicles to share high routing and traffic information in Vehicular Ad hoc Networks (VANETs) environment. Congestion and Delay in the transmission may occur due to the density of the nodes in the network. Traffic condition depends on the vehicles in Rural and Urban environment. Increase or Decrease in vehicle’s speed makes significant network changes when compared to the MANET environment. Road Side Terminals (RSTs) plays a major role in bridging the connection between the sender and the receiver nodes. The traditional AODV algorithm performs better when there are shortest path and link lifetime between the nodes in VANET. Giving 3 Level Preference to the nodes as High Preference (HP), Average Preference (AP) and Less Preference (LP) gives chances to nodes that have High Preference when compared to Less Preference. CPAODV model is proposed by implementing Classifying and giving preference to the RREQ to mitigate latency to the nodes. RST sends RREQ wisely based on the early model of Route Discovery stage itself. NS2 Simulator is used to analyze the strength of the proposed algorithm using QoS metrics like Throughput, Packet Delivery Ratio and End to End delay. This proposed CPAODV method performs better when compared to traditional AODV and CBAODV algorithm.

3 citations