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Using novel distributed heuristics on hexagonal connected dominating sets to model routing dissemination
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Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents
Leipzig, Germany
SESSION: Cross-layer applications (Cross-Layer Optimized Wireless Networks symp.) table of contents
Pages 353-359  
Year of Publication: 2009
ISBN:978-1-60558-569-7
Authors
Maria Striki  Telcordia Technologies Inc., One Telcordia Drive, Piscataway, NJ
Anthony McAuley  Telcordia Technologies Inc., One Telcordia Drive, Piscataway, NJ
Sponsors
ACM: Association for Computing Machinery
: Wiley-Blackwell
Publisher
ACM  New York, NY, USA
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ABSTRACT

As future wireless networks become more diverse, there are important performance limits when network conditions become more extreme. An important performance limit in dense networks is the scalability of routing and of topology updates dissemination in particular. In previous work [16], the expected performance of diverse approaches to topology update schemes using flat flooding, Multi-Point relays (MPRs), and Connected Dominating Sets (CDSs), has been modeled and analyzed. Analysis showed that one representative of the analyzed CDS models, the CDS-based Hexagon one, offered order of magnitude less overhead in dense networks with a small increase in routing stretch. To our knowledge, other existing distributed CDS heuristics cannot match the performance of this model. In this work, we are advancing the CDS-HEX topology dissemination approach from the limited-scope centralized scenarios with strict symmetrical relays placement to any general dynamic scenario with totally random placement of nodes. We propose novel heuristics to approximate the theoretically optimal CDS-HEX for dynamic environments. We are showing that: a) although the distributed scheme operates sub-optimally compared to its centralized ancestor, it is still superior to the MPR scheme in key metrics, b) the set-up overhead of the more sophisticated distributed CDS-HEX is not significantly higher than this of MPRs, while the steady state overhead of CDS-HEX turns to be lower, and c) simulations verify all the closed analytical formulae and asymptotic results of previous analysis and provide additional insight on metrics that cannot be analytically measured.


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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Collaborative Colleagues:
Maria Striki: colleagues
Anthony McAuley: colleagues