| Comparison between graph-based and interference-based STDMA scheduling |
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International Symposium on Mobile Ad Hoc Networking & Computing
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Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
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Long Beach, CA, USA
Poster session: Poster abstracts
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Pages: 255 - 258
Year of Publication: 2001
ISBN:1-58113-428-2
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Authors
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Jimmi Grönkvist
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Department of Communication Systems, Box 1165, SE-581 11 Linköping, Sweden
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Anders Hansson
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Department of Communication Systems, Box 1165, SE-581 11 Linköping, Sweden
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Downloads (6 Weeks): 8, Downloads (12 Months): 141, Citation Count: 10
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ABSTRACT
Spatial reuse TDMA is a fixed assignment access scheme for multi-hop radio networks. The idea is to increase network capacity by letting several radio terminals use the same time slot when the interferences caused are not too severe. We consider two methods of generating traffic controlled reuse schedules. One method uses full knolwedge of the interference environment to generate schedules. The other method uses a graph representation of the network, assuming limited knowledge of the interferences. By simulations, we evaluate the proposed methods in terms of average delay and throughput. The simulation results indicate that the network performance of the graph-based scheduling may suffer compared to the interference-based scheduling, depending on how the graph is created. In a stationary situation, or temporary stationary situation, where knowledge of the full interference environment can be assumed, interference based scheduling can improve the network capacity by up to one thrid, thereby being worth its increased complexity
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 10
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Weizhao Wang , Xiang-Yang Li , Ophir Frieder , Yu Wang , Wen-Zhan Song, Efficient interference-aware TDMA link scheduling for static wireless networks, Proceedings of the 12th annual international conference on Mobile computing and networking, September 23-29, 2006, Los Angeles, CA, USA
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