Joint routing, gateway selection, scheduling and power management optimization in wireless mesh networks

dc.citation.epage3178en_US
dc.citation.spage3169en_US
dc.contributor.authorUzunlar Onuren_US
dc.contributor.authorGökbayrak, Kağanen_US
dc.contributor.authorYıldırım, E. A.en_US
dc.coverage.spatialOrlando, Florida USAen_US
dc.date.accessioned2016-02-08T12:14:54Z
dc.date.available2016-02-08T12:14:54Z
dc.date.issued2012-05en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.descriptionConference Name: 62nd Annual Conference and Expo of the Institute of Industrial Engineers 2012
dc.descriptionDate of Conference: 19-23 May 2012
dc.description.abstractThe third generation (3G) wireless communications technology delivers user traffic in a single step to the wired network via base station; therefore it requires all base stations to be connected to the wired network. On the other hand, in the fourth generation (4G) communication systems, it is planned to have the base stations set up so that they can deliver each other's traffic to a small number of base stations equipped with wired connections. In order to improve system resiliency against failures, a mesh structure is preferred. The most important issue in Wireless Mesh Networks (WMN) is that the signals that are simultaneously transmitted on the same frequency channel can interfere with each other to become incomprehensible at the receiver end. It is possible to operate the links at different times or at different frequencies, but this also lowers capacity usage. In this paper, we tackle the planning problems of WMN, using 802.16 (Wi-MAX) protocol, such as deploying a given number of gateway nodes along with operational problems such as routing, management of power used by nodes and scheduling while maximizing the minimum service level provided. In order to be able to apply our results to real systems, we work with optimization models based on realistic assumptions such as physical interference and single path routing. We propose heuristic methods to obtain optimal or near optimal solutions in reasonable time. The models are applied to some cities in Istanbul and Ankara provinces.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:14:54Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2012en
dc.identifier.urihttp://hdl.handle.net/11693/28235
dc.language.isoEnglishen_US
dc.publisherInstitute of Industrial Engineersen_US
dc.source.title62nd Annual Conference and Expo of the Institute of Industrial Engineers 2012en_US
dc.subjectGateway selectionen_US
dc.subjectInteger programmingen_US
dc.subjectWireless mesh networksen_US
dc.subjectBase stationsen_US
dc.subjectExhibitionsen_US
dc.subjectGateways (computer networks)en_US
dc.subjectHeuristic methodsen_US
dc.subjectInteger programmingen_US
dc.subjectMobile telecommunication systemsen_US
dc.subjectOptimizationen_US
dc.subjectSchedulingen_US
dc.subjectWireless mesh networks (WMN)en_US
dc.subjectWireless telecommunication systemsen_US
dc.subjectDifferent frequencyen_US
dc.subjectFourth generation (4G)en_US
dc.subjectNear-optimal solutionsen_US
dc.subjectOperational problemsen_US
dc.subjectOptimization modelsen_US
dc.subjectSingle-path routingen_US
dc.subjectThird generation (3G) wireless communicationsen_US
dc.subjectMESH networkingen_US
dc.titleJoint routing, gateway selection, scheduling and power management optimization in wireless mesh networksen_US
dc.typeConference Paperen_US

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