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A GPSR protocol based on Mobile Prediction and Node Stability

Published: 31 July 2024 Publication History

Abstract

In unmanned aerial vehicle (UAV) ad hoc networks, a GPSR protocol based on mobile prediction and node stability (GPSR-MPNS) is proposed to solve the problem of inaccurate location of neighbor nodes caused by periodic HELLO mechanism and poor link stability caused by high-speed movement of node in GPSR protocol. The protocol introduces a failure node screening mechanism to predict the position of neighbor nodes and eliminate the failed neighbor nodes in the neighbor list, which reduces the probability of forwarding data by the failure nodes. At the same time, it comprehensively considers the distance between neighbor nodes and destination nodes, link lifetime and the number of effective neighbor nodes to select the next hop forwarding node, in order to improve the stability of the selected node and make the established link more reliable. The simulation results show that compared with GPSR protocol, GPSR-NS protocol's average end-to-end delay is reduced by 57.54% and 23.31% respectively, packet loss rate is reduced by 22.16% and 17.91% respectively, routing overhead is reduced by 38.74% and 24.01% respectively, and network throughput is increased by 99.96% and 63.06% respectively.

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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