Abstract

With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.

Highlights

  • Internet of Things (IoT) has penetrated every aspect of people’s lives and has been widely used in agriculture, transportation, industry, marine, military, and other fields

  • The perception layer is the core of IoT, which is the key part of information collection

  • It is similar to the equivalent of the human nerve center or blood vessels, which process the information collected from the perception layer, connecting the perception layer and the application layer

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Summary

Introduction

IoT has penetrated every aspect of people’s lives and has been widely used in agriculture, transportation, industry, marine, military, and other fields. The perception layer is the core of IoT, which is the key part of information collection. The function of the sensing layer is similar to that of human’s five senses, which can acquire natural signals and is mainly used to collect and process them to a certain extent to form information or to identify objects. The sensing layer forms a sensor network through a variety of sensors to collect and process signals in the form of a server for the IoT and an intermediary for user exchange. In each link of IoT group intelligence sensing feedback sensor data collection, aggregation, and service, its security and privacy issues have been the stumbling block that restricts the mature development of more IoT applications. In the new IoT architecture based on group wisdom sensing and cloud computing, the openness of the network, the diversity of participating users, and the curiosity and even maliciousness of the cloud platform make the IoT group wisdom sensing data security and privacy face more challenges, and the problems of participating users’ privacy leakage, data forgery, tampering, and unreliability are more severe

Related Work
Evaluation
Experimental Verification and Conclusion
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