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Design of a Novel LFE_GPSR Protocol for Optimizing Communication in Challenging City Scenarios

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Abstract

A vehicle network is a complicated, dense network with a range of network and node-level complexity. The communication issues in a vehicular network are made more difficult by the high mobility, heterogeneity, energy restriction, high density, and scenario circumstances. Additionally, scenarios including traffic jams, accidents, and high communication loads make communication more challenging. Such difficult circumstances are beyond the capabilities of the current routing methods. A zone-based, load- and position-aware routing strategy for vehicular networks is presented in this paper. The infrastructure devices are set up statically and given zonal control in this protocol. In order to determine the load, energy, and fault-safe intermediate nodes, zone-based greedy weighted parameters are analyzed. The neighbor count, load, energy, and distance metrics are among the weighted parameters. The current GPSR protocol incorporates the greedy rule-based optimum neighbor identification method and weighted evaluation. The V2V and V2I communication is optimized using the proposed Load, Fault, Energy adaptive GPSR (LFE_GPSR) protocol. This LFE_GPSR protocol is simulated in a densely populated, heterogeneous environment. The SUMO setup NS2 environment is used for the simulation. The ZRP, GPSR, AMGRP, GSR, E-GyTAR, TFOR, EE-FMDRP, FBAODV, AFMDR, RMRPTS, FLAR-C, and D-CALAR protocols are the subjects of the comparative analysis. To evaluate the effectiveness of long- and short-distance communication, the analytical observations are carried out in a variety of scenarios. Multiple scenarios are generated with different vehicle densities, vehicle speed, and RSUs. In various circumstances, the suggested protocol's performance and efficacy are measured against the transmission delay, PDR ratio, and LFR characteristics. The outcomes show that, in comparison to existing protocols, the suggested protocol significantly reduced communication failure and latency.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, The NorthCap University, HUDA Sector 23-A, Gurugram, Haryana, 122017, India

    Aarti Sangwan

  2. Bennett University, Greater Noida, India

    Kapil Juneja

  3. University Institute of Engineering, Chandigarh University, Mohali, India

    Paurav Goel

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Sangwan, A., Juneja, K. & Goel, P. Design of a Novel LFE_GPSR Protocol for Optimizing Communication in Challenging City Scenarios. Wireless Pers Commun 136, 1419–1453 (2024). https://doi.org/10.1007/s11277-024-11299-6

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