Abstract
Internet of Vehicles (IoV) is an evolving and appealing technology which enables vehicles to communicate with each other, to roadside infrastructures, and to pedestrian handheld devices. The communication between these agents helps to develop and execute on-road safety applications, traffic efficiency applications, and infotainment applications. However, spectrum allocated according to current vehicular communication standard IEEE 802.11p is not enough to provide growing demands of the increasing vehicle users. To this direction, cognitive radio technology and cooperative spectrum sensing have been proposed as possible solutions for overcoming these challenges. They enable vehicular users to efficiently use the licensed spectrum while ensuring promised Quality of Service (QoS) for licensed users. However, it is necessary to have an efficient channel assignment strategy in order to avoid collision between transmissions. In this work, we propose a distributed channel assignment algorithm to ensure efficient utilization of channels and improve the network throughput. We perform simulations which show that our proposed algorithm gives better throughput, packet delivery ratio and channel utilization.
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This research work was supported in part by the Department of Science and Technology (DST), Government of India vide project grant ECR/2018/000917.
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Goyal, K., Patra, M. (2021). Distributed Channel Assignment in Cognitive-Radio Enabled Internet of Vehicles. In: Udgata, S.K., Sethi, S., Srirama, S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-33-6081-5_19
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DOI: https://doi.org/10.1007/978-981-33-6081-5_19
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