This paper is published in Volume-3, Issue-4, 2017
Area
VANET
Author
Aditi Saini
Co-authors
Pritpal Singh
Org/Univ
Rayat-Bahra University, Mohali, Punjab, India
Pub. Date
09 August, 2017
Paper ID
V3I4-1295
Publisher
Keywords
VANET, Routing, RSU, QoS, MSN, MANET, DSR

Citationsacebook

IEEE
Aditi Saini, Pritpal Singh. Review on Recent Techniques for Reducing Packet Drops in Dense and Sparse Vehicular Network Scenarios, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aditi Saini, Pritpal Singh (2017). Review on Recent Techniques for Reducing Packet Drops in Dense and Sparse Vehicular Network Scenarios. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Aditi Saini, Pritpal Singh. "Review on Recent Techniques for Reducing Packet Drops in Dense and Sparse Vehicular Network Scenarios." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

Vehicular networks have been the trending topic of research since the past decade that can be attributed to its enormous potential to enhance road safety, traffic efficiency and furnish un-interrupted service to the users over the course of mobility. Vehicular communications are being perceived as an enabler for driverless cars of the future. Automobile industries, governments and research community across the globe are investing extensive effort and capital towards the deployment of vehicular networks owing to the gigantic potential envisaged in its applications. Vehicular networks represent a special sub-class of MANET that presents numerous research challenges due to their distinct features such as hybrid network architectures, node movement characteristics and new application scenarios. Designing efficient routing protocols for VANET remains one of the most prominent challenging issues. The major challenge associated with Delay Tolerant Networks (DTN) protocols is ensuring less packet drops while ignoring delay. This paper reviews the works that lessen packet drops by exploiting position, social and velocity information of nodes in dense and sparse vehicular networks.
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