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In Vehicular Ad Hoc Networks (VANETs), vehicles communicate through Vehicle-to-Vehicle (V to V) and Vehicle-to-Roadside Unit (V to RSU) channels, posing challenges for wide deployment. A key issue is designing delay minimization algorithms to handle path disruptions due to vehicle mobility. This dissertation proposes a scheme focusing on reducing delays for high-velocity vehicles, minimizing collision risks. It utilizes low-velocity vehicles to share road status and velocity information, reducing overall traffic in dynamic VANETs. The AODV routing protocol is employed for flooded request and…mehr

Produktbeschreibung
In Vehicular Ad Hoc Networks (VANETs), vehicles communicate through Vehicle-to-Vehicle (V to V) and Vehicle-to-Roadside Unit (V to RSU) channels, posing challenges for wide deployment. A key issue is designing delay minimization algorithms to handle path disruptions due to vehicle mobility. This dissertation proposes a scheme focusing on reducing delays for high-velocity vehicles, minimizing collision risks. It utilizes low-velocity vehicles to share road status and velocity information, reducing overall traffic in dynamic VANETs. The AODV routing protocol is employed for flooded request and reply, broadcasting specific packets called delay-aware information. Computer simulations using the ns-2 simulator demonstrate the scheme's effectiveness in increasing information delivery, reducing packet overhead, and improving throughput.
Autorenporträt
Sandeep Pratap Singh es licenciado y máster en Ciencias de la Computación. Actualmente trabaja como profesor asistente (SG) en la Escuela de Informática de la UPES, Dehradun, India. Sus intereses de investigación se centran en la minería de datos, la detección de fraudes y el procesamiento de imágenes biomédicas. Ha publicado tres libros y numerosos artículos en congresos y revistas.