Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks
Identifieur interne : 001B33 ( Main/Exploration ); précédent : 001B32; suivant : 001B34Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks
Auteurs : Jing Bai [République populaire de Chine] ; Peng Cheng [République populaire de Chine] ; Jiming Chen [République populaire de Chine] ; Adrien Guenard [France] ; Ye-Qiong Song [France]Source :
English descriptors
Abstract
As technology advancements in robotics and wire- less communication, tracking mobile targets using mobile sensors has aroused widespread concern in recent years. In this paper, we propose a novel coordinative moving strategy for autonomous mobile sensor networks to guarantee the target can be detected in each observed step while minimizing the amount of moving sensors. The proposed scheme consists of obtaining the current position of the target, which is then used to predict the next time-step location of the target. Once the uncertainty region of the target's position is defined, the proposed method allows the mobile sensors to cover it in an optimal way. Therefore, we can assign each mobile sensor to an optimal location to cover the uncertainty region while minimizing the total traveled distance of sensors. Extensive simulations are given to evaluated performance and demonstrate the efficiency of the proposed strategy.
Url:
Affiliations:
- France, République populaire de Chine
- Grand Est, Lorraine (région), Zhejiang
- Hangzhou, Metz, Nancy
- Université de Lorraine, Université de Zhejiang
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 004A09
- to stream Hal, to step Curation: 004A09
- to stream Hal, to step Checkpoint: 001753
- to stream Main, to step Merge: 001B63
- to stream Main, to step Curation: 001B33
Le document en format XML
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type="url">http://www.loria.fr</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-413289" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-413289" type="indirect"><org type="institution" xml:id="struct-413289" status="VALID"><idno type="IdRef">157040569</idno><idno type="IdUnivLorraine">[UL]100--</idno><orgName>Université de Lorraine</orgName><orgName type="acronym">UL</orgName><date type="start">2012-01-01</date><desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="IdRef">02636817X</idno><idno type="ISNI">0000000122597504</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Assignment</term><term>Coverage</term><term>Mobile Sensor Networks</term><term>Target Tracking</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">As technology advancements in robotics and wire- less communication, tracking mobile targets using mobile sensors has aroused widespread concern in recent years. In this paper, we propose a novel coordinative moving strategy for autonomous mobile sensor networks to guarantee the target can be detected in each observed step while minimizing the amount of moving sensors. The proposed scheme consists of obtaining the current position of the target, which is then used to predict the next time-step location of the target. Once the uncertainty region of the target's position is defined, the proposed method allows the mobile sensors to cover it in an optimal way. Therefore, we can assign each mobile sensor to an optimal location to cover the uncertainty region while minimizing the total traveled distance of sensors. Extensive simulations are given to evaluated performance and demonstrate the efficiency of the proposed strategy.</div></front></TEI><affiliations><list><country><li>France</li><li>République populaire de Chine</li></country><region><li>Grand Est</li><li>Lorraine (région)</li><li>Zhejiang</li></region><settlement><li>Hangzhou</li><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li><li>Université de Zhejiang</li></orgName></list><tree><country name="République populaire de Chine"><region name="Zhejiang"><name sortKey="Bai, Jing" sort="Bai, Jing" uniqKey="Bai J" first="Jing" last="Bai">Jing Bai</name></region><name sortKey="Chen, Jiming" sort="Chen, Jiming" uniqKey="Chen J" first="Jiming" last="Chen">Jiming Chen</name><name sortKey="Cheng, Peng" sort="Cheng, Peng" uniqKey="Cheng P" first="Peng" last="Cheng">Peng Cheng</name></country><country name="France"><region name="Grand Est"><name sortKey="Guenard, Adrien" sort="Guenard, Adrien" uniqKey="Guenard A" first="Adrien" last="Guenard">Adrien Guenard</name></region><name sortKey="Song, Ye Qiong" sort="Song, Ye Qiong" uniqKey="Song Y" first="Ye-Qiong" last="Song">Ye-Qiong Song</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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