Improving Discovery Using Meta-heuristic Echolocation
Document Type
Conference Proceeding
Publication Date
1-1-2017
Publication Title
Proceedings - 25th International Conference on Systems Engineering, ICSEng 2017
Publisher
Institute of Electrical and Electronics Engineers Inc.
Volume
2017-January
First page number:
169
Last page number:
175
Abstract
This paper discusses a meta-heuristic echolocation mathematical model, as a possible method to discover adjacent vehicles and road-side units in a smart transportation setting with levels 3, 4, and 5 autonomous vehicles. The operation of IoAV based on monitoring several parameters as well as major obstacles for the proliferation of level 4 and 5 autonomous vehicles are also analyzed. In this paper, we make the first attempt to analyze autonomous vehicles from a microscopic level, focusing on each vehicle and their communications. Simulation results demonstrated that the proposed model incurs minimal computation and communication overheads. © 2017 IEEE.
Language
english
Repository Citation
Tayeb, S.,
Latifi, S.
(2017).
Improving Discovery Using Meta-heuristic Echolocation.
Proceedings - 25th International Conference on Systems Engineering, ICSEng 2017, 2017-January
169-175.
Institute of Electrical and Electronics Engineers Inc..
http://dx.doi.org/10.1109/ICSEng.2017.24