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dc.contributor.authorXia, Li
dc.contributor.authorShihada, Basem
dc.date.accessioned2015-04-08T13:01:39Z
dc.date.available2015-04-08T13:01:39Z
dc.date.issued2013-06
dc.identifier.issn0743-1619
dc.identifier.doi10.1109/ACC.2013.6579823
dc.identifier.urihttp://hdl.handle.net/10754/350281
dc.description.abstractIn this paper, we discuss the decentralized optimization of delay and energy consumption in a multi-hop wireless network. The goal is to minimize the energy consumption of energy-critical nodes and the overall packet transmission delay of the network. The transmission rates of energy-critical nodes are adjustable according to the local information of nodes, i.e., the length of packets queued. The multi-hop network is modeled as a queueing network.We prove that the system performance is monotone w.r.t. (with respect to) the transmission rate, thus the “bang-bang” control is an optimal control. We also prove that there exists a threshold type control policy which is optimal. We propose a decentralized algorithm to control transmission rates of these energy-critical nodes. Some simulation experiments are conducted to demonstrate the effectiveness of our approach.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6579823
dc.relation.urlhttp://www.shihada.com/node/publications/acc2013.pdf
dc.rights(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleDecentralized control of transmission rates in energy-critical wireless networks
dc.typeConference Paper
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal2013 American Control Conference
dc.conference.date17-19 June 2013
dc.conference.nameAmerican Control Conference (ACC), 2013
dc.conference.locationWashington, DC
dc.eprint.versionPost-print
dc.contributor.institutionCenter For Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University, Beijing 100084, China
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personShihada, Basem
refterms.dateFOA2018-06-13T16:46:33Z


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