Abstract
Due to the enhancements of Internet of Things (IoT) and sensors deployments, the production of big data in Industrial Internet of Things (IIoT) is increased. The accessing and processing of big data become a challenging issue due to the limited storage space, computational time, networking, and IoT devices end. IoT and big data are well thought-out to be the key concepts when describing new information architecture projects. The techniques, tools, and methods that help to provide better solutions for IoT and big data can have an important role to play in the architecture of business. Different approaches are being practiced in the literature for evaluating the role of big data in IIoT. These techniques are not handling the situations when complexity of dependency arises among parameters of the alternatives. The proposed research uses the approach of Analytic Network Process (ANP) for evaluating the role of big data in IIoT. The results show that the proposed research works well for evaluating the role of big data in IIoT.
Highlights
Due to the enhancements of Internet of ings (IoT) and sensors deployments, the production of big data in Industrial Internet of ings (IIoT) is increased. e accessing and processing of big data become a challenging issue due to the limited storage space, computational time, networking, and IoT devices end
Different approaches are being practiced in the literature for evaluating the role of big data in IIoT. ese techniques are not handling the situations when complexity of dependency arises among parameters of the alternatives. e proposed research uses the approach of Analytic Network Process (ANP) for evaluating the role of big data in IIoT. e results show that the proposed research works well for evaluating the role of big data in IIoT
E contribution of the proposed research is to use the approach of Analytic Network Process for evaluating the role of big data in IIoT. e process of pairwise comparison was carried out for the criteria and available alternatives. e results show that the proposed research works well for evaluating the role of big data in IIoT
Summary
Due to the enhancements of Internet of ings (IoT) and sensors deployments, the production of big data in Industrial Internet of ings (IIoT) is increased. e accessing and processing of big data become a challenging issue due to the limited storage space, computational time, networking, and IoT devices end. Different approaches are being practiced in the literature for evaluating the role of big data in IIoT. E proposed research uses the approach of Analytic Network Process (ANP) for evaluating the role of big data in IIoT. 1. Introduction e developments in the field of data processing, Internet, and electronic communications have enabled the world to easy access to different physical devices. As the daily life objects and things connected to the Internet are increasing with the passage of time, which made the IoT be dynamic network of networks, more challenges such as dynamicity, heterogeneity, volume, and velocity of data makes the services of IoT inconsistent, incomplete, inaccurate, and incorrect results which resultant can make complexity for the applications of IIoT such as healthcare, wearable, smart transportation, and industry [2]
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