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Smart city article details
| Title | Interference Aware Intelligent Routing In Cognitive Radio Based Vehicular Adhoc Networks For Smart City Applications |
|---|---|
| ID_Doc | 32794 |
| Authors | Sethi S.K.; Mahapatro A. |
| Year | 2023 |
| Published | International Journal of Information Technology (Singapore) |
| DOI | http://dx.doi.org/10.1007/s41870-023-01434-0 |
| Abstract | Cognitive radio-based Vehicular Adhoc networks (CR-VANET) play a crucial role in enabling smart mobility services. This network provide dynamic nodes with a list of secondary channels (SC) and allow them to operate on the best available channel. However, the throughput decreases in the presence of interference between co-located licensed channels, in a highly dynamic wireless network environment. Our proposed interference aware multi-weightage routing (IAMWR) algorithm addresses this issue by considering the feasibility of channel utility and mean path distance. It aims to achieve a balance between minimizing interference and reducing the path length between nodes. The Channels with lower interference levels and higher available bandwidth are given higher utility values. In addition to this by incorporating mean path distance into the routing decision, the algorithm aims to minimize the overall path length, thus improving the efficiency of data transmission. By combining channel utility and mean path distance as multi-weightage path costs, the algorithm can determine the most suitable route through the network while taking interference and path length into account. Our theoretical analysis and MATLAB simulation results highlight the potential of the proposed IAMWR algorithm to address the challenges of smart mobility and contribute to the development of efficient and equitable smart cities. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management. |
| Author Keywords | Cognitive radio network; CR-VANET; IAMWR; Interference; Routing; SC; Smart mobility service |
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