4.7 Article

Dynamic Routing Protocol Selection in Multi-Hop Device-to-Device Wireless Networks

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 71, Issue 8, Pages 8796-8809

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2022.3172923

Keywords

Routing; Cellular networks; Routing protocols; Device-to-device communication; Spread spectrum communication; Cloud computing; Computer architecture; 5G; multi-hop D2D; multi-hop routing; software-defined networking; wireless networking

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This paper proposes a multi-protocol framework for the dynamic deployment and switching of multiple MD2D routing protocols in mobile wireless networks. The performance of two multi-hop routing protocols is studied in different network conditions, and a multiple-criteria decision-making approach is developed to choose the most suitable protocol.
Until now, multi-hop device-to-device (MD2D) routing in mobile wireless networks has been designed to operate over a single-protocol routing framework. Consequently, to the best of our knowledge, no framework has been developed to enable the dynamic deployment and switching of multiple MD2D routing protocols under one framework. This paper proposes a multi-protocol framework to introduce the idea of clustering a cell and deploying different MD2D routing protocols for each cluster based on the cluster requirements. To this end, four clusters are developed with varying network conditions (i.e., node density, mobility rate, and the number of flows). Then, the performance of our two previously designed multi-hop routing protocols, namely hybrid SDN architecture for wireless distributed networks (HSAW) and source-based virtual ad hoc routing protocol (VARP-S), are investigated in each cluster in terms of energy consumption, end-to-end (E2E) delay, packet loss, and cellular-band overhead. Based on the achieved simulation results, a multiple-criteria decision-making (MCDM) approach based on the analytic hierarchy process (AHP) is developed to choose the most suitable protocol for each cluster to provide the best performance. The simulation results indicate that our proposed multi-protocol framework provides better performance compared to traditional single-protocol architectures.

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