Sybot

Kyu-Han Kim, Alexander W. Min, Kang G. Shin
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6ic3uq2bh5ezhkpheq3qkakozy" style="color: black;">Proceedings of the sixteenth annual international conference on Mobile computing and networking - MobiCom &#39;10</a> </i> &nbsp;
Information on site-specific spectrum characteristics is essential to evaluate and improve the performance of wireless networks. However, it is usually very costly to obtain accurate spectrum-condition information in heterogeneous wireless environments. This paper presents a novel spectrum-survey system, called Sybot (Spectrum survey robot), that guides network engineers to efficiently monitor the spectrum condition (e.g., RSS) of WiFi networks. Sybot effectively controls mobility and employs
more &raquo; ... ree disparate monitoring techniques-complete, selective, and diagnostic-that help produce and maintain an accurate spectrum-condition map for challenging indoor WiFi networks. By adaptively triggering the most suitable of the three techniques, Sybot captures spatio-temporal changes in spectrum condition. Moreover, based on the monitoring results, Sybot automatically determines several key survey parameters, such as site-specific measurement time and space granularities. Sybot has been prototyped with a commodity IEEE 802.11 router and Linux OS, and experimentally evaluated, demonstrating its ability to generate accurate spectrum-condition maps while reducing the measurement effort (space, time) by more than 56%.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1859995.1860029">doi:10.1145/1859995.1860029</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mobicom/KimMS10.html">dblp:conf/mobicom/KimMS10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f3pdcamdynajve4wqbhhqyhabu">fatcat:f3pdcamdynajve4wqbhhqyhabu</a> </span>
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