Efficient neighbor discovery in vehicular ad hoc networks is crucial to a number of applications such as driving safety and data transmission. The main challenge is the high mobility of vehicles. In this paper, we proposed a new algorithm for quickly discovering neighbor node in such a dynamic environment. The proposed rapid discovery algorithm is based on a novel mobility prediction model using Kalman filter theory, where each vehicular node has a prediction model to predict its own and its neighbors’ mobility. This is achieved by considering the nodes’ temporal and spatial movement features. The prediction algorithm is reinforced with threshold triggered location broadcast messages, which will update the prediction model parameters, and improve the efficiency of the neighbor discovery algorithm. Through extensive simulations, the accuracy, robustness, and efficiency properties of our proposed algorithm are demonstrated. Compared with other methods of neighbor discovery, which are frequently used in HP-AODV, ARH, and ROMSG, the proposed algorithm needs the least overheads and can reach the lowest neighbor error rate while improving the accuracy rate of neighbor discovery. In general, the comparative analysis of different neighbor discovery methods in routing protocol is obtained, which shows that the proposed solution performs better than HP-AODV, ARH, and ROMSG.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Kalman Prediction-Based Neighbor Discovery and Its Effect on Routing Protocol in Vehicular Ad Hoc Networks


    Contributors:
    Liu, Chunfeng (author) / Zhang, Gang (author) / Guo, Weisi (author) / He, Ran (author)


    Publication date :

    2020-01-01


    Size :

    1673383 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Reliable routing protocol for vehicular ad hoc networks

    Kim, Jung-Hun / Lee, Sukyoung | Tema Archive | 2011


    Enhanced clustering based routing protocol in vehicular ad‐hoc networks

    Naeem, Afia / Rizwan, Muhammad / Alsubai, Shtwai et al. | Wiley | 2023

    Free access

    Enhanced clustering based routing protocol in vehicular ad‐hoc networks

    Afia Naeem / Muhammad Rizwan / Shtwai Alsubai et al. | DOAJ | 2023

    Free access

    CONVOY: A New Cluster‐Based Routing Protocol for Vehicular Networks

    Véque, Véronique / Kaisser, Florent / Johnen, Colette et al. | Wiley | 2013


    Neighbor-Aided Localization in Vehicular Networks

    Cruz, Susana B | Online Contents | 2017