Localization approach of FLC and ANFIS technique for critical applications in wireless sensor networks.

Wireless Sensor Network (WSN) is an arrangement of sensor nodes to collect environmental data and send it to Base Station (BS). The major application of the sensor networks is monitoring the physical environmental conditions. The WSN system plays a critical role to select the optimal location, distance, and degree of specific data communicating between WSN and BS. The optimally located sensor senses the data and sends it to the BS. The communicated data is in accordance with the location and its degrees of distance, both distributions in transmitting data to BS requires high energy requirement. Hence, the main challenge of WSN is to optimize the location and reduce the date communication cost. In this paper, we have put forward our try to comparison with optimization algorithm fuzzy logic control (FLC) with Adaptive Network-Based FLC Inference System (ANFIS) for localization of sensor nodes in WSN. To identify the best in optimization WSNs location by a degree of distance of each node also cost of the network analysis based proposed algorithms. The simulation has shown that the combined approach of ANFIS has better performance over current approaches in terms of security and accuracy. [ABSTRACT FROM AUTHOR]