Abstract

This article models the multihop data-routing in vehicular ad-hoc networks as multiple criteria decision making (MCDM) in four steps. First, the criteria that have impact on the performance of the network layer are captured and transformed into fuzzy sets. Second, the fuzzy sets are characterized by fuzzy membership functions (FMFs), which are interpolated (curve fitting) based on the data collected from massive experimental simulations. Third, the analytical hierarchy process (AHP) is exploited to identify the relationships among the criteria. Fourth, multiple fuzzy rules are determined and the Takagi–Sugeno–Kang (TSK) inference system is employed to infer and aggregate the final forwarding decision. Through integrating techniques of MCDM, FMF, AHP, and TSK, we design a distributed and opportunistic data routing protocol, namely, vehicular environment fuzzy router which targets vehicle-to-vehicle (V2V) communication and runs in two main processes—road segment selection (RSS) and relay vehicle selection (RVS). RSS is intended to select multiple successive junctions through which the packets should travel from the source to the destination, while RVS process is intended to select relay vehicles within the selected road segment. The experimental results show that our protocol performs and scales well with both network size and density, considering the combined problem of end-to-end packet delivery ratio and end-to-end latency.

Highlights

  • THE explosive usage of mobile electronics and recent of 3-27Mbps and a range of communication up to 1km

  • The advances in telecommunications made the Ad-hoc Ve- Road-side units (RSUs), on the other hand, has a wired interface to communihicular Networks (VANETs) a more attainable technology to cate with other RSUs and a wireless communication intermeet the ever-increasing demands for improving the effi- face to communicate with On-Board Unit (OBU) mounted on vehicles

  • The Moderate speed difference is defined by the fuzzy set SM={ (x, μMS (x))|x ∈ [0,1]} where μMS (x) is the membership function interpolated by Gaussian process, which is non-linear interpolation that used for fitting a curve through discrete data as formulated in Eq(30)

Read more

Summary

INTRODUCTION

THE explosive usage of mobile electronics and recent of 3-27Mbps and a range of communication up to 1km. 2) We model the intra-path (i.e., the process of selecting the relay vehicles on the selected road segment) as a multi-objective function, which is utterly driven by multiple attributes such as speed difference, movement direction of vehicles, signal fading or path loss and transmission distance. Each of these attributes is modeled as a fuzzy set independently. 3) Based on inter-path and intra-path strategies introduced above, a distributed and opportunistic data routing protocol called VEFR (Vehicular Environment Fuzzy Router) which targets V2V (vehicle-to-vehicle) and integrates MCDM, FMF, AHP, and TSK is developed.

RELATED WORK
Distributed Approaches
Centralized Approaches
ATTRIBUTES AND FUZZIFIER
Road Segment Selection Inference
Relay Vehicle Selection Inference
VEHICULAR ENVIRONMENT FUZZY ROUTER
Inter-path
Intra-path
Simulation Environment
Experimental Settings
Representative Approach for Comparison
Experimental Results
Scenario 1
Scenario 2
Scenario 3
CONCLUSION
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.