Localization Method for Wireless Sensor Networks Using Nero-Fuzzy

A wireless sensor network includes a series of nods, each of them containing some sensors which have a role in gathering data about the circuit in which they are distributed. Sensor networks enjoy variety of uses; that is why they are attracted by many countries. In a sensor network, few nods have already known their position which are called anchor node; other nods must calculate their position accordingly. In this essay, “received signal strength indicator” and “Nero-Fuzzy” are used in order to calculate unspecified-position nods’ coordinate. Each unspecifiedposition node must know the position of some nearing anchor nodes. The more the nodes are, the more precise the coordinate is. In this essay, unspecified node’s coordinate is estimated according to two or more anchor nodes using logic fuzzy. Since the range covered by sensor networks is broad, finding all anchor nodes is a time-consuming task and needs a lot of memory. Therefore, distance limit between anchor nodes and unspecified nodes is considered. The area around anchor nodes and unspecified nodes is divided reticulated, and then, the unspecified node’s coordinate is estimated according to fuzzy logic rules. The estimated average error rate for 120 nodes using this method equals to 2% of radio range, which is minimal in comparison to APS algorithm.