Fuzzy logic offers an inexpensive and robust way to deal with highly complex and variable models of noisy, uncertain environments. It provides a mechanism to learn about an environment in a way that treats variability consistently FUZLOC, a fuzzy logic-based localization method suitable for wireless sensor nodes that are mobile in noisy, harsh environments. We present fuzzy multilateration, a component of our fuzzy inference process, which obtains a node’s location from noisy RSS measurements, using fuzzy rule sets. . We present a fuzzy grid prediction scheme, which optimizes our fuzzy inference process, under conditions of low anchor density. The fuzzy logic-based localization scheme is implemented in a simulator and compared to state-of-the-art solutions. Extensive simulation results demonstrate improvements in the localization accuracy from 20 to 40 percent when the radio irregularity is high.
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