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Real-time trajectory estimation in mobile ad hoc networks

Authors:

Teruo HigashinoAuthors Info & Claims

MSWiM '09: Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

Pages 163 - 172

https://doi.org/10.1145/1641804.1641834

Published: 26 October 2009 Publication History

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Abstract

In this paper, we propose a new trajectory estimation method named TRADE (TRAjectory estimation in DEcentralized way). TRADE is a range-free localization algorithm in fully decentralized mobile ad hoc networks. In TRADE, each mobile node periodically transmits messages containing its estimated trajectory information, and re-computes its own trajectory using those from its neighbors. This information exchange considerably contributes to improvement of the position accuracy. Furthermore, we give the optimal design of the protocol based on the analysis of the algorithm property. Through the analysis, we consider how much trajectory information should be exchanged among nodes to estimate the position within a certain error range in the protocol design. We have evaluated the position accuracy under various settings, and have shown the effectiveness of the protocol in the real world through two realistic application examples.

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Higuchi TYamaguchi HHigashino T(2018)Context-supported local crowd mapping via collaborative sensing with mobile phonesPervasive and Mobile Computing10.1016/j.pmcj.2013.10.01213(26-51)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1016/j.pmcj.2013.10.012
Kiyama NUchiyama AYamaguchi HHigashino T(2018)Quantifying relationship between relative position error of localization algorithms and object identificationWireless Networks10.1007/s11276-012-0516-219:6(1037-1049)Online publication date: 29-Dec-2018
https://dl.acm.org/doi/10.1007/s11276-012-0516-2
Takahashi RSueoka YOsuka K(2017)Three-dimensional localization method: Mi-nashi in multi-robot systems2017 11th Asian Control Conference (ASCC)10.1109/ASCC.2017.8287510(2166-2171)Online publication date: Dec-2017
https://doi.org/10.1109/ASCC.2017.8287510
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Real-time trajectory estimation in mobile ad hoc networks

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Published In

MSWiM '09: Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems

October 2009

438 pages

ISBN:9781605586168

DOI:10.1145/1641804

General Chairs:
Nael Abu-Ghazaleh
State University of New York at Binghamton, USA
,
Luciano Bononi
University of Bologna, Italy
,
Program Chairs:
Brahim Bensaou
The Hong Kong University of Science and Technology, Hong Kong
,
Violet R. Syrotiuk
Arizona State University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 26 October 2009

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MSWiM '09: The 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 26 - 29, 2009

Tenerife, Canary Islands, Spain

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Higuchi TYamaguchi HHigashino T(2018)Context-supported local crowd mapping via collaborative sensing with mobile phonesPervasive and Mobile Computing10.1016/j.pmcj.2013.10.01213(26-51)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1016/j.pmcj.2013.10.012
Kiyama NUchiyama AYamaguchi HHigashino T(2018)Quantifying relationship between relative position error of localization algorithms and object identificationWireless Networks10.1007/s11276-012-0516-219:6(1037-1049)Online publication date: 29-Dec-2018
https://dl.acm.org/doi/10.1007/s11276-012-0516-2
Takahashi RSueoka YOsuka K(2017)Three-dimensional localization method: Mi-nashi in multi-robot systems2017 11th Asian Control Conference (ASCC)10.1109/ASCC.2017.8287510(2166-2171)Online publication date: Dec-2017
https://doi.org/10.1109/ASCC.2017.8287510
Higuchi TFujii SYamaguchi HHigashino T(2014)Mobile Node Localization Focusing on Stop-and-Go Behavior of Indoor PedestriansIEEE Transactions on Mobile Computing10.1109/TMC.2013.13913:7(1564-1578)Online publication date: Jul-2014
https://doi.org/10.1109/TMC.2013.139
Higuchi TYamaguchi HHigashino T(2012)Clearing a crowdProceedings of the 10th international conference on Pervasive Computing10.1007/978-3-642-31205-2_20(325-342)Online publication date: 18-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31205-2_20
Shinichi Minamimoto Fujii SYamaguchi HHigashino T(2010)Local map generation using position and communication history of mobile nodes2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PERCOM.2010.5466999(2-10)Online publication date: Mar-2010
https://doi.org/10.1109/PERCOM.2010.5466999

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Efficient on-demand routing for mobile ad hoc wireless access networks

Performance analysis of mobile ad hoc routing protocols using extensive metrics

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Efficient on-demand routing for mobile ad hoc wireless access networks

Performance analysis of mobile ad hoc routing protocols using extensive metrics

Opportunistic media access control and routing for delay-tolerant mobile ad hoc networks

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