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Topology Discovery for Linear Wireless Networks with Application to Train Backbone Inauguration

Authors :
Liu, Yu
Feng, Jianghua
Simeone, Osvaldo
Tang, Jun
Wen, Zheng
Haimovich, Alexander M.
Zhou, MengChu
Liu, Yu
Feng, Jianghua
Simeone, Osvaldo
Tang, Jun
Wen, Zheng
Haimovich, Alexander M.
Zhou, MengChu
Publication Year :
2015

Abstract

A train backbone network consists of a sequence of nodes arranged in a linear topology. A key step that enables communication in such a network is that of topology discovery, or train inauguration, whereby nodes learn in a distributed fashion the physical topology of the backbone network. While the current standard for train inauguration assumes wired links between adjacent backbone nodes, this work investigates the more challenging scenario in which the nodes communicate wirelessly. The key motivations for this desired switch from wired topology discovery to wireless one are the flexibility and capability for expansion and upgrading of a wireless backbone. The implementation of topology discovery over wireless channels is made difficult by the broadcast nature of the wireless medium, and by fading and interference. A novel topology discovery protocol is proposed that overcomes these issues and requires relatively minor changes to the wired standard. The protocol is shown via analysis and numerical results to be robust to the impairments caused by the wireless channel including interference from other trains.<br />Comment: To appear on IEEE Transactions on Intelligent Transportation Systems

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1106213299
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1109.TITS.2015.2512605