Abstract
In this paper, we use a wireless sensor network data algorithm to optimize the design of mechanical chain drive by conducting an in-depth study of the mechanical chain drive optimization. We utilize the crowdsourcing feature of the swarm-wise sensing network for assisted wireless sensor networking to achieve crowdsourcing-assisted localization. We consider a framework for crowdsourcing-assisted GPS localization of wireless sensor networks and propose two recruitment participant optimization objectives, namely, minimum participants and time efficiency, respectively. A model and theoretical basis are provided for the subsequent trusted data-driven participant selection problem in swarm-wise sensing networks. The sprocket-chain engagement frequency has the greatest influence on the horizontal bending-vertical bending composite in different terrain conditions. The dynamic characteristics under working conditions are most influenced, while the scraping of the scraper and the central groove significantly influenced horizontal bending and vertical bending. Under load conditions, the amplitude of the scraper and central groove scraping increases significantly, which harm the dynamics of the scraper conveyor. By monitoring the speed difference between the head and tail sprockets and the overhang of the scraper, the tensioning status of the scraper conveyor chain can be effectively monitored to avoid chain jamming and chain breakage caused by the loose chain, thus improving the reliability and stability of the scraper conveyor.
Highlights
The development of wireless sensor networks and group intelligence-aware networks has been carried out relatively independently, and no research has been conducted to converge the two
In wireless sensor network data collection based on applications such as soil site monitoring, to accurately predict and identify risk factors, it is required that the sensor network can collect data reflecting the complete status of the monitoring area and required that these data are reliably transmitted to the user within a specified delay [3]
A lot of results have been achieved in various aspects of research on coverage voids and data collection techniques for wireless sensor networks, but as the application scope of wireless sensor networks continues to extend, there are still many critical issues to be addressed to meet the everchanging application requirements
Summary
The development of wireless sensor networks and group intelligence-aware networks has been carried out relatively independently, and no research has been conducted to converge the two. The merging of telephone and data networks will greatly reduce the operating costs of communication networks and simplify the management of the network for users; the biggest benefit is the cost savings The meaning behind this is that the emergence of new technologies can enhance the original technology, which is often very mature, and preapplication has built a huge system with huge investment [1]. In wireless sensor network monitoring applications that require high reliability of data collection, the ability of the nodes to collect complete data from the monitoring area and transmit them to the user center in a reliable and timely manner is directly related to the effectiveness of the network application [2]. PPAGS can largely increase the data collection rate with a small number of mobile devices while reducing the data collection delay
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