Choosing industrial wireless sensor by using analytic hierarchy process

Abstract

Nowadays, an industrial wireless sensor (IWS) is interested and widely used by various industries. There are many industries trying to adopt qualified IWS products in competitive market for gaining advantage. The challenge in choosing IWS includes not only the price, but also several factors, e.g., operating frequency, data rate, output power, interface, brand, and so on. These factors cause difficulty for decision making by engineers or project managers, since there are a number of factors to choose simultaneously in order to find the optimal IWS to use. In this paper, we propose the method for choosing IWS by using analytic hierarchy process (AHP). The proposed method is suitable for the problems that involve multiple criteria selection simultaneously, as in the IWS choosing problem. The IWS factors used for decision criteria are defined in this work, as well as the model of alternate preferences. The pairwise comparison and scoring metrics are also derived in the process to acquire the result, including the consistency check for the result obtained. The result expressed that the AHP provides the correct decision result. It is rationality and feasibility for choosing the qualified IWS products.