Allocating data for broadcasting over wireless channels subject to transmission errors
Broadcasting is an efficient and scalable way of transmitting data over wireless channels to an unlimited number of clients. In this paper the problem of allocating data to multiple channels is studied, assuming flat data scheduling per channel and the presence of unrecoverable channel transmission...
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Published in | Wireless networks Vol. 16; no. 2; pp. 355 - 365 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.02.2010
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1022-0038 1572-8196 |
DOI | 10.1007/s11276-008-0136-z |
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Abstract | Broadcasting is an efficient and scalable way of transmitting data over wireless channels to an unlimited number of clients. In this paper the problem of allocating data to multiple channels is studied, assuming flat data scheduling per channel and the presence of unrecoverable channel transmission errors. The objective is that of minimizing the average expected delay experienced by the clients. Two different channel error models are considered: the Bernoulli model and the simplified Gilbert–Elliot one. In the former model, each packet transmission has the same probability to fail and each transmission error is independent from the others. In the latter one, bursts of erroneous or error-free packet transmissions due to wireless fading channels are modeled. Particular cases are detected where optimal solutions can be found in polynomial time. For general cases, simulations show that good sub-optimal solutions can be found on benchmarks whose item popularities follow Zipf distributions. |
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AbstractList | Broadcasting is an efficient and scalable way of transmitting data over wireless channels to an unlimited number of clients. In this paper the problem of allocating data to multiple channels is studied, assuming flat data scheduling per channel and the presence of unrecoverable channel transmission errors. The objective is that of minimizing the average expected delay experienced by the clients. Two different channel error models are considered: the Bernoulli model and the simplified Gilbert-Elliot one. In the former model, each packet transmission has the same probability to fail and each transmission error is independent from the others. In the latter one, bursts of erroneous or error-free packet transmissions due to wireless fading channels are modeled. Particular cases are detected where optimal solutions can be found in polynomial time. For general cases, simulations show that good sub-optimal solutions can be found on benchmarks whose item popularities follow Zipf distributions. Broadcasting is an efficient and scalable way of transmitting data over wireless channels to an unlimited number of clients. In this paper the problem of allocating data to multiple channels is studied, assuming flat data scheduling per channel and the presence of unrecoverable channel transmission errors. The objective is that of minimizing the average expected delay experienced by the clients. Two different channel error models are considered: the Bernoulli model and the simplified Gilbert-Elliot one. In the former model, each packet transmission has the same probability to fail and each transmission error is independent from the others. In the latter one, bursts of erroneous or error-free packet transmissions due to wireless fading channels are modeled. Particular cases are detected where optimal solutions can be found in polynomial time. For general cases, simulations show that good sub-optimal solutions can be found on benchmarks whose item popularities follow Zipf distributions. [PUBLICATION ABSTRACT] |
Author | Barsocchi, Paolo Bertossi, Alan A. Pinotti, M. Cristina Potortì, Francesco |
Author_xml | – sequence: 1 givenname: Paolo surname: Barsocchi fullname: Barsocchi, Paolo organization: ISTI-CNR – sequence: 2 givenname: Alan A. surname: Bertossi fullname: Bertossi, Alan A. organization: Department of Computer Science, University of Bologna – sequence: 3 givenname: M. Cristina surname: Pinotti fullname: Pinotti, M. Cristina email: pinotti@unipg.it organization: Department of Computer Science and Mathematics, University of Perugia – sequence: 4 givenname: Francesco surname: Potortì fullname: Potortì, Francesco organization: ISTI-CNR |
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Cites_doi | 10.1109/26.729391 10.1016/0166-5316(85)90024-0 10.1145/191839.191846 10.1145/223784.223816 10.1109/TII.2005.852070 10.1007/s11276-006-9146-x 10.1109/TCOM.1987.1096694 10.1109/INFCOM.1999.749260 10.1109/ISCC.2005.136 10.1023/A:1021837531806 10.1109/TC.2002.1039849 10.1109/TC.2005.81 10.1109/ICDE.2000.839403 10.1145/335305.335398 |
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Keywords | Wireless communication Gilbert–Elliot model Heuristics Bernoulli model Flat scheduling Average expected delay Channel transmission errors Data broadcasting Multiple channels |
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References_xml | – reference: Acharya, S., Alonso, R., Franklin, M., & Zdonik. S. (1995). Broadcast disks: Data management for asymmetric communication environments. In Proceedings of SIGMOD (pp. 199–210). – reference: AmmarM.H.WongJ.W.On the optimality of cyclic transmission in teletext systemsIEEE Transactions on Communications198735111159117010.1109/TCOM.1987.1096694 – reference: StojmenovicIHandbook of wireless networks and mobile computing2002ChichesterWiley – reference: YeeWGNavatheSOmiecinskiEJermaineCEfficient data allocation over multiple channels at broadcast serversIEEE Transactions on Computers200251101231123610.1109/TC.2002.10398492056145 – reference: Breslau, L., Cao, P., Fan, L., Phillips, G., & Shenker, S. (1999). Web caching and Zipf-like distributions: Evidence and implications. In Proceedings of the IEEE INFOCOM (pp. 126–134). – reference: Kenyon, C., & Schabanel, N. (1999). The data broadcast problem with non-uniform transmission time. In Proceedings of the Tenth ACM-SIAM Symposium on Discrete Algorithms (SODA) (pp. 547–556). – reference: Koutsakis, P. (2005). Scheduling and call admission control for burst-error wireless channels. In Proceedings of the 10th IEEE Symposium on Computers and Communications (ISCC) (pp. 767–772). – reference: TurinWPerformance analysis of digital transmission systems1990New YorkComputer Science Press – reference: Yee, W. G. (2001). Efficient data allocation for broadcast disk arrays. Technical Report, GIT-CC-02-20, Georgia Institute of Technology. – reference: ArdizzoniEBertossiAAPinottiMCRamaprasadSRizziRShashankaMVSOptimal skewed data allocation on multiple channels with flat broadcast per channelIEEE Transactions on Computers200554555857210.1109/TC.2005.81 – reference: BertossiAAPinottiMCRizziRGonzalezTScheduling data broadcasts on wireless channels: Exact solutions and heuristicsHandbook of approximation algorithms and metaheuristics, Chapter 732007Boca RatonTaylor & Francis Books (CRC Press) – reference: Vaidya, N., & Hameed, S. (1997). Log time algorithms for scheduling single and multiple channel data broadcast. In Proceedings of the Third ACM-IEEE Conference on Mobile Computing and Networking (MOBICOM) (pp. 90–99). – reference: ZorziMRaoRMilsteinLBError statistics in data transmission over fading channelsIEEE Transactions on Communications199846111468147710.1109/26.729391 – reference: AmmarM.H.WongJ.W.The design of teletext broadcast cyclesPerformance Evaluation19855423524210.1016/0166-5316(85)90024-0 – reference: Bar-Noy, A., Bhatia, R., Naor, J. S., & Schieber, B. (1998). Minimizing service and operation costs of periodic scheduling. In Proceedings of the Ninth ACM-SIAM Symposium on Discrete Algorithms (SODA) (pp. 11–20). – reference: WilligARedundancy concepts to increase transmission reliability in wireless industrial LANsIEEE Transactions on Industrial Informatics20051317318210.1109/TII.2005.852070 – reference: AnticagliaSBarsiFBertossiAAIameleLPinottiMCEfficient heuristics for data broadcasting on multiple channelsWireless Networks200814221923110.1007/s11276-006-9146-x – reference: Kenyon, C., Schabanel, N., & Young, N. (2000). Polynomial time approximation scheme for data broadcast. In Proceedings of the ACM Symposium on Theory of Computing (STOC) (pp. 659–666). – reference: PengWCChenMSEfficient channel allocation tree generation for data broadcasting in a mobile computing environmentWireless Networks2003921171291009.6898410.1023/A:1021837531806 – reference: Prabhakara, K. A., Hua, K. A., & Oh, J. (2000). Multi-level multi-channel air cache designs for broadcasting in a mobile environment. In Proceedings of the Sixteenth IEEE International Conference on Data Engineering (ICDE) (pp. 167–176). – reference: Imielinski, T., Viswanathan, S., & Badrinath, B. R. (1994). Energy efficient indexing on air. In Proceedings of the SIGMOD (pp. 25–36). – reference: Lo, S.-C., & Chen, A. L. P. (2000). Optimal index and data allocation in multiple broadcast channels. In Proceedings of the Sixteenth IEEE International Conference on Data Engineering (ICDE) (pp. 293–302). – ident: 136_CR18 – ident: 136_CR20 – volume: 46 start-page: 1468 issue: 11 year: 1998 ident: 136_CR22 publication-title: IEEE Transactions on Communications doi: 10.1109/26.729391 – volume: 5 start-page: 235 issue: 4 year: 1985 ident: 136_CR2 publication-title: Performance Evaluation doi: 10.1016/0166-5316(85)90024-0 – ident: 136_CR9 doi: 10.1145/191839.191846 – ident: 136_CR1 doi: 10.1145/223784.223816 – volume: 1 start-page: 173 issue: 3 year: 2005 ident: 136_CR19 publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2005.852070 – volume: 14 start-page: 219 issue: 2 year: 2008 ident: 136_CR4 publication-title: Wireless Networks doi: 10.1007/s11276-006-9146-x – volume: 35 start-page: 1159 issue: 11 year: 1987 ident: 136_CR3 publication-title: IEEE Transactions on Communications doi: 10.1109/TCOM.1987.1096694 – ident: 136_CR6 – ident: 136_CR8 doi: 10.1109/INFCOM.1999.749260 – volume-title: Handbook of wireless networks and mobile computing year: 2002 ident: 136_CR16 – ident: 136_CR12 doi: 10.1109/ISCC.2005.136 – volume: 9 start-page: 117 issue: 2 year: 2003 ident: 136_CR14 publication-title: Wireless Networks doi: 10.1023/A:1021837531806 – volume-title: Performance analysis of digital transmission systems year: 1990 ident: 136_CR17 – volume: 51 start-page: 1231 issue: 10 year: 2002 ident: 136_CR21 publication-title: IEEE Transactions on Computers doi: 10.1109/TC.2002.1039849 – volume: 54 start-page: 558 issue: 5 year: 2005 ident: 136_CR5 publication-title: IEEE Transactions on Computers doi: 10.1109/TC.2005.81 – ident: 136_CR15 doi: 10.1109/ICDE.2000.839403 – ident: 136_CR13 – ident: 136_CR11 doi: 10.1145/335305.335398 – ident: 136_CR10 – volume-title: Handbook of approximation algorithms and metaheuristics, Chapter 73 year: 2007 ident: 136_CR7 |
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SubjectTerms | Algorithms Communications Engineering Computer Communication Networks Computer science Data transmission Electrical Engineering Engineering Error correction & detection Errors IT in Business Networks Probability Schedules Scheduling Studies Wireless networks |
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Title | Allocating data for broadcasting over wireless channels subject to transmission errors |
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