Abstract
Purpose The rapid development of 5G technology brings the expansion of the internet of things (IoT). A large number of devices in the IoT work independently, leading to difficulties in management. This study aims to optimize the member structure of the IoT so the members in it can work more efficiently. Design/methodology/approach In this paper, the authors consider from the perspective of crowd science, combining genetic algorithms and crowd intelligence together to optimize the total intelligence of the IoT. Computing, caching and communication capacity are used as the basis of the intelligence according to the related work, and the device correlation and distance factors are used to measure the improvement level of the intelligence. Finally, they use genetic algorithm to select a collaborative state for the IoT devices. Findings Experimental results demonstrate that the intelligence optimization method in this paper can improve the IoT intelligence level up to ten times than original level. Originality/value This paper is the first study that solves the problem of device collaboration in the IoT scenario based on the scientific background of crowd intelligence. The intelligence optimization method works well in the IoT scenario, and it also has potential in other scenarios of crowd network.
Highlights
The internet of things (IoT) is a concept that people have been longing for since the information transmission technology came into fast development in the 21st century
IoT is defined as an information carrier, which uses various equipment such as information
Surveillance cameras, personal computers (PC) and mobile phones are chosen as the IoT devices
Summary
The internet of things (IoT) is a concept that people have been longing for since the information transmission technology came into fast development in the 21st century. The builders of internet hope to realize the connection among everything and everyone, the IoT members can get information sharing and real-time interaction by the connection. IoT is defined as an information carrier, which uses various equipment such as information. © Ke Wang, Zheming Yang, Bing Liang and Wen Ji. Published in International Journal of Crowd Science. The full terms of this licence may be seen at http:// creativecommons.org/licences/by/4.0/legalcode
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