A New Framework for Request-driven Data Harvesting in Vehicular Sensor Networks

mansour louiza, moussaoui Samira


Vehicular Sensor Networks (VSNs) are an emerging paradigm in vehicular networks. This new technology uses different kind of sensing devices available in vehicles, to gather information in order to provide safer, efficient and comfort for roads users. One of the VSNs challenges is how to deal with dynamic data collection. To achieve this, an efficient collaboration between sensors and vehicles is required. This paper proposes a new multi-hop data collection and dissemination scheme based on data replication on VSNs in an urban scenario. The aim of our proposal scheme is to achieve a high accessibility to a requested data while maintaining a low level of channel utilization. The simulation results show that this protocol can achieve significant performance benefits.


Vehicular Sensor Network, Data Collection, Data Dissemination, Data Replication.

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DOI: https://doi.org/10.5296/npa.v5i4.3155

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