Decentralized Multi-Charger Coordination for Wireless Rechargeable Sensor Networks
Identifieur interne : 000191 ( Main/Exploration ); précédent : 000190; suivant : 000192Decentralized Multi-Charger Coordination for Wireless Rechargeable Sensor Networks
Auteurs : Lei Mo [France] ; Pengcheng You [République populaire de Chine] ; Xianghui Cao [République populaire de Chine] ; Ye-Qiong Song [France] ; Jiming Chen [République populaire de Chine]Source :
English descriptors
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Abstract
Wireless charging is a promising technology for provisioning dynamic power supply in wireless rechargeable sensor networks (WRSNs). The charging equipment can be carried by some mobile nodes to enhance the charging flexibility. With such mobile chargers (MCs), the charging process should simultaneously address the MC scheduling, the moving and charging time allocation, while saving the total energy consumption of MCs. However, the efficient solutions that jointly solve those challenges are generally lacking in the literature. First, we investigate the multi-MC coordination problem that minimizing the energy expenditure of MCs while guaranteeing the perpetual operation of WRSNs, and formulate this problem as a mixed-integer linear program (MILP). Second, to solve this problem efficiently, we propose a novel decentralized method which is based on Benders decomposition. The multi-MC coordination problem is then decomposed into a master problem (MP) and a slave problem (SP), with the MP for MC scheduling and the SP for MC moving and charging time allocation. The MP is being solved by the base station (BS), while the SP is further decomposed into several sub-SPs and being solved by the MCs in parallel. The BS and MCs coordinate themselves to decide an optimal charging strategy. The convergence of proposed method is analyzed theoretically. Simulation results demonstrate the effectiveness and scalability of the proposed method.
Url:
Affiliations:
- France, République populaire de Chine
- Grand Est, Lorraine (région)
- Metz, Nancy
- Université de Lorraine
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<ref type="url">http://www.loria.fr</ref>
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<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>
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<ref type="url">http://www.univ-lorraine.fr/</ref>
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<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
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<ref type="url">http://www.cnrs.fr/</ref>
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<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>
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<orgName type="university">Université de Lorraine</orgName>
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<author><name sortKey="Chen, Jiming" sort="Chen, Jiming" uniqKey="Chen J" first="Jiming" last="Chen">Jiming Chen</name>
<affiliation wicri:level="1"><hal:affiliation type="institution" xml:id="struct-443617" status="INCOMING"><orgName>Department of Control Science and Engineering, Zhejiang University</orgName>
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<country>République populaire de Chine</country>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term> decentralized method</term>
<term> mixed-integer linear program</term>
<term> mobile charger coordination</term>
<term> perpetual operation</term>
<term>Wireless rechargeable sensor networks</term>
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<front><div type="abstract" xml:lang="en">Wireless charging is a promising technology for provisioning dynamic power supply in wireless rechargeable sensor networks (WRSNs). The charging equipment can be carried by some mobile nodes to enhance the charging flexibility. With such mobile chargers (MCs), the charging process should simultaneously address the MC scheduling, the moving and charging time allocation, while saving the total energy consumption of MCs. However, the efficient solutions that jointly solve those challenges are generally lacking in the literature. First, we investigate the multi-MC coordination problem that minimizing the energy expenditure of MCs while guaranteeing the perpetual operation of WRSNs, and formulate this problem as a mixed-integer linear program (MILP). Second, to solve this problem efficiently, we propose a novel decentralized method which is based on Benders decomposition. The multi-MC coordination problem is then decomposed into a master problem (MP) and a slave problem (SP), with the MP for MC scheduling and the SP for MC moving and charging time allocation. The MP is being solved by the base station (BS), while the SP is further decomposed into several sub-SPs and being solved by the MCs in parallel. The BS and MCs coordinate themselves to decide an optimal charging strategy. The convergence of proposed method is analyzed theoretically. Simulation results demonstrate the effectiveness and scalability of the proposed method.</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>
</region>
<settlement><li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName><li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><region name="Grand Est"><name sortKey="Mo, Lei" sort="Mo, Lei" uniqKey="Mo L" first="Lei" last="Mo">Lei Mo</name>
</region>
<name sortKey="Song, Ye Qiong" sort="Song, Ye Qiong" uniqKey="Song Y" first="Ye-Qiong" last="Song">Ye-Qiong Song</name>
</country>
<country name="République populaire de Chine"><noRegion><name sortKey="You, Pengcheng" sort="You, Pengcheng" uniqKey="You P" first="Pengcheng" last="You">Pengcheng You</name>
</noRegion>
<name sortKey="Cao, Xianghui" sort="Cao, Xianghui" uniqKey="Cao X" first="Xianghui" last="Cao">Xianghui Cao</name>
<name sortKey="Chen, Jiming" sort="Chen, Jiming" uniqKey="Chen J" first="Jiming" last="Chen">Jiming Chen</name>
</country>
</tree>
</affiliations>
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