Routing in Sparse Vehicular Ad Hoc Wireless Networks

By Nawaporn Wisitpongphan, Fan Bai, Priyantha Mudalige, Varsha K. Sadekar, Ozan K. Tonguz. IEEE Journal on Selected Areas in Communications, 2007

554 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/32d0125191f6a376bd3c30460b49f0eb76b5425f

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

DV-CAST: A distributed vehicular broadcast protocol for vehicular ad hoc networks (2010, methodology): “Building on this pioneering work, we have previously developed a comprehensive analytical approach to characterize key routing parameters in intermittently connected or disconnected VANETs by using empirical, analytical, and simulation-based studies [7].”
Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution (2020, unknown): “, our highway scenario [35].”
Infotainment and road safety service support in vehicular networking : From a communication perspective $ (2010, background): “The vehicle traffic flow at one location can also be highly dynamic, primarily contingent upon the time of the day [34].”
Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems (2018, background): “2 Data Forwarding in VANETs There has been a plethora of research work [19], [20], [21] on data forwarding in VANETs.”
Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination (2016, background): “The intervehicle distance has been shown to have an exponential distribution at low vehicle density and a lognormal distribution at high vehicle density [7].”
Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks (2011, result): “This agrees with the empirical measurements made on the I-80 interstate in California reported in [39].”
Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis (2011, background): “Similarly, mobility patterns can be extracted from these real-world observations to analytically model traffic flows [15].”