Epidemic and transmission priority based data dissemination model in vehichular adhoc networks (VANETs)

Ravikumar, D.; Barani, S.

doi:10.1007/s12083-020-01013-1

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…The proposed ETSGR is based on the vehicle state, direction, distance, traffic density and link quality of the network. The vehicle state is analyzed based on the epidemic algorithm as mentioned in Kumar and Barani (2020) and it holds the location and road map information when the node is having direct communication range and the proposed protocol divides the path of forwarding nodes into small segments so that the transmission of data can be easier and faster. As shown in Figure 2, the head node is chosen in the divided road segment and finds the destination in order to send the information to the particular vehicle.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…The main aim of the proposed framework is to improve the performance rate for the dynamic assessment of routing protocol based on the epidemic and segment formation with the connection toward the network. The vehicle behavior is analyzed based on the concept proposed by Kumar and Barani (2020) and based on the vehicle state the message received by the vehicle is found and the further process based on the transmission segment protocol is used.…”

Section: Proposed Methodologymentioning

confidence: 99%

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Data dissemination model using Epidemic and Transmission-Segment-based Geographic Routing protocol: a new perspective in vehicular ad hoc networks

Ravikumar

Barani

2021

IJICC

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PurposeThe purpose of this paper is to introduce a new data dissemination model in order to improve the performance of transmission in VANET. It proposes a protocol named Epidemic and Transmission-Segment-based Geographic Routing (ETSGR) and outlining the issues due to high mobility of nodes and uncertain physical topologies in the network. The proposed ETSGR is mainly used to analyze the vehicle state, direction, distance, traffic density and link quality of the network.Design/methodology/approachThis research work based on ETSGR protocol mainly uses epidemic algorithm in order to find the vehicle state based on susceptible, infected and recovered (SIR) model. Furthermore, the vehicle position and finding the head node in the network is utilized using the transmission segment protocol based on geographic routing and analyses each node to form the segments and find the destination to transmit the data in timely manner.FindingsThe paper provides the enhancement of the performance based on some metrics such as end-to-end delay that obtained 0.62%, data throughput as 32.3%, packet delivery ratio as 67% and one-hop communication as 13%. The proposed ETSGR protocol analyzes the state of the vehicle correctly and each node segmented to transmit the data with the timely manner and obtaining reliable performance even with high mobility of nodes in the network.Research limitations/implicationsThe proposed ETSGR protocol may have some limitation when considering the timing which should improve even in increasing many number of vehicles and different road segments.Practical implicationsThis paper includes some suggestions for the practical deployment of the approach in which a real-time traffic analysis can be evaluated for taking prior actions during an emergency situation and proper dissemination of data in timely manner can help utilize the guidance of proper planning of roads.Originality/valueThis research fulfills an enhanced protocol to improve the performance of data dissemination.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Proposed Methodologymentioning

confidence: 99%