Fuzzy distance measuring based on RSSI in Wireless Sensor Network

Wireless sensor network has become the hot research field over the world since 1990 s, and the localization plays important role in WSN, however, distance measuring is the base of the localization. A novel distance measuring technology is proposed in the paper, which use fuzzy inference system trained by adaptive neural-fuzzy inference system to create the model that maps RSSI into the correct T-R distance, and it is feasible proved by experiments.

1. Introduction

The WSN(Wireless Sensor Network)[1] technology has attracted so many researchers all over the world, which is comprised of kinds sub fields: hardware development, network protocols and security, data fusion or data aggregation, node localization and so on.