eprintid: 1252
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/12/52
datestamp: 2012-03-28 13:02:05
lastmod: 2012-04-03 07:49:05
status_changed: 2012-03-28 13:02:05
type: article
metadata_visibility: show
creators_name: Abbate, Stefano
creators_name: Avvenuti, Marco
creators_name: Corsini, Paolo
creators_name: Panicucci, Barbara
creators_name: Passacantando, Mauro
creators_name: Vecchio, Alessio
creators_id: stefano.abbate@alumni.imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: An integer linear programming approach for radio-based localization of shipping containers in the presence of incomplete proximity information
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: Container, localization, logistics, wireless sensor networks (WSNs) 
abstract: The most advanced solutions that are currently adopted in ports and terminals use technologies based on radio frequency identification (RFID) and the Global Positioning System (GPS) to identify and localize shipping containers in the yard. Nevertheless, because of the limitations of these solutions, the position of containers is still affected by errors, and it cannot be determined in real time. In this paper, a nonconventional approach is presented: Each container is equipped with nodes that use wireless communication to detect neighbor containers and to send proximity information to a base station. At the base station, geometrical constraints and proximity data are combined to determine the positions of containers. Missing information due to faulty nodes is tolerated by modeling geometrical constraints as an integer linear programming problem. Numerical simulations show that most of the containers can be localized, even when the number of nodes that are affected by faults is on the order of 30.
date: 2012-03
date_type: published
publication: IEEE Transactions on Intelligent Transportation Systems
number: 99
publisher: IEEE
pagerange: 1 -16
id_number: 10.1109/TITS.2012.2188518
refereed: TRUE
issn: 1524-9050
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6170896&isnumber=4358928
citation:   Abbate, Stefano and Avvenuti, Marco and Corsini, Paolo and Panicucci, Barbara and Passacantando, Mauro and Vecchio, Alessio  An integer linear programming approach for radio-based localization of shipping containers in the presence of incomplete proximity information.  IEEE Transactions on Intelligent Transportation Systems (99).  1 -16.  ISSN 1524-9050      (2012)