Interference-constrained coverage algorithms in the protocol and SINR models
DSpace at IIT Bombay
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Title |
Interference-constrained coverage algorithms in the protocol and SINR models
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Creator |
KAPADIA, P
DAMANI, O KUMAR, A |
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Subject |
POWER-CONTROL
VORONOI DIAGRAMS Wireless coverage Computer algorithms Computational geometry Random sampling |
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Description |
A wireless network's design must include the optimization of the area of coverage of its wireless transmitters-mobile and base stations in cellular networks, wireless access points in WLANs, or nodes on a transmit schedule in a wireless ad-hoc network. Furthermore, with increasing densities of wireless network deployments, paucity of spectrum, and new developments like whitespace devices and cognitive networks, there is a need to study the computational efficiency of managing interference and optimizing coverage. This work presents new algorithms for computing and optimizing interference-limited coverage of wireless networks under protocol and Signal-to-Interference-and-Noise Ratio (SINR) models. For the protocol model we demonstrate lower bounds on computation of the coverage area for an transmitter topology. We first show that any offline computation has a run-time of , and any dynamic update takes time to locate transmitters whose coverage is modified and time to update affected coverage regions. We then demonstrate an extension of an offline algorithm to a dynamic algorithm that achieves the lower bound. For coverage in the SINR model, we demonstrate the difficulty of geometric direct computation, and report a flexible coverage area estimation method. We then propose a Random Hill Climbing method for optimizing the coverage area measure, and demonstrate the efficacy of this method by experimental comparison with the Nelder-Mead and exhaustive search optimization methods.
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Publisher |
SPRINGER
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Date |
2016-01-14T12:17:29Z
2016-01-14T12:17:29Z 2015 |
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Type |
Article
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Identifier |
WIRELESS NETWORKS, 21(4)1391-1409
1022-0038 1572-8196 http://dx.doi.org/10.1007/s11276-014-0832-9 http://dspace.library.iitb.ac.in/jspui/handle/100/17476 |
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Language |
en
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