Performance Evaluation of Wireless Sensor Networks Based on Hesitant Fuzzy Linguistic Preference Relations

Abstract

This paper aims to pinpoint the wireless sensor network (WSN) with the fewest sensor faults through performance evaluation. For this purpose, a WSN performance evaluation method was put forward based on hesitant fuzzy linguistic preference relations (HLPRs). Then, the basic operations and comparison rules were introduced in details. The proposed method was tested in a real case. The results show that the method enables the decision maker to express his exact opinions on different WSN alternatives, and performs well in evaluating WSNs with uncertain information. The research findings shed new light on the selection, performance selection, and promotion of WSNs.