Detecting Node Failures in Mobile Wireless Networks A Probabilistic Approach - 2016
Detecting node failures in mobile wireless networks is very difficult because the network topology can be highly dynamic, the network may not be continuously connected, and therefore the resources are limited. In this paper, we tend to take a probabilistic approach and propose two node failure detection schemes that systematically combine localized monitoring, location estimation and node collaboration. Extensive simulation leads to each connected and disconnected networks demonstrate that our schemes achieve high failure detection rates (shut to an higher certain) and low false positive rates, and incur low communication overhead. Compared to approaches that use centralized monitoring, our approach has up to 80 percent lower communication overhead, and only slightly lower detection rates and slightly higher false positive rates. Furthermore, our approach has the advantage that it's applicable to both connected and disconnected networks while centralized monitoring is only applicable to connected networks. Compared to alternative approaches that use localized monitoring, our approach has similar failure detection rates, up to 57 % lower communication overhead and much lower false positive rates (e.g., 0.01 versus 0.twenty seven in some settings).
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