Abstract
Routing in Mobile Ad hoc Network (MANET) has been well studied, and there exists number of approaches in literature, which consider mobility speed, latency, and hop count in routing the network packets. However, they suffer to achieve higher QoS performance in routing. To handle this issue, an efficient Delay Centric Speed and Directional Routing (DMDR) is presented in this article. The method considers the factors like delay between k neighbors and mobility speed of nodes with its direction in the selection of transmission route. Initially, the method discovers the routes available toward the destination and computes Delay Sensitive Route Support (DSRS) which represents the suitability of route to deliver the packet on time, Mobility-Based Transmission Support (MTS) which represents the availability of the route according to the speed of node, and Directional Reaching Support (DRS) which represents the number of nodes in the future location to reach the destination. According to the DSRS, MTS, and DRS values, the value of Effective Transmission Score (ETS) is measured for different routes. Most suitable route has been selected based on ETS value. By measuring the DSRS value at k hops in the route, the method identifies the least latency route to maximize the QoS performance.
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The dataset generated and analyzed during the current study is available from the corresponding author on reasonable request.
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The authors gratefully acknowledged Periyar University, Salem and RD National College of Arts and Science, Erode for providing the research facilities.
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MK and SV contributed to identify the initial problem statement, analysis, manuscript preparation, and simulation results.
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This article is part of the topical collection “Advances in Computational Approaches for Image Processing, Wireless Networks, Cloud Applications and Network Security” guest edited by P. Raviraj, Maode Ma and Roopashree H R.
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Kamarunisha, M., Vimalanand, S. An Efficient Delay Centric Speed and Directional Routing (DMDR) for Improved Routing in MANET. SN COMPUT. SCI. 5, 235 (2024). https://doi.org/10.1007/s42979-023-02562-x
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DOI: https://doi.org/10.1007/s42979-023-02562-x