Multistage Dynamic Packet Access Mechanism of Internet of Things

Abstract

In the scenario of mass control commands requesting for network access, confined by the best-effort network service mode, it is easy to bring about resource competition and thus a phenomenon of access failure on major and urgent service request at the data access center for the Internet of ings. In this event, the dynamic diversification of control command is unable to access the necessary resources on a comparatively fair basis, causing low efficiency in heterogeneous resource utilization at the access center. is paper defines the problem of group request dynamic resource allocation and further converts it into the problem of 0-1 integer and linear programming and proposes a multistage dynamic packet access strategy. is strategy works first on dynamic group division on the users' mass control requests using the high ability of self-organizing feature maps and then searches for the optimized matching resources based on the frog-leaping algorithm which has a better capacity for global searching for the best resources. is paper analyzes the feasibility of this strategy and its astringency. e experimental results demonstrate that the strategy can effectively improve the success rate of access to the data center for the Internet of ings and reduce network blockage and response delay.

Dynamic Data-Driven Modelling of Water Allocation for the Internet of Things

“…[1]. Most of the existing digital management systems for water resources equipment focus on the real-time monitoring of water resources equipment and the establishment of a supervisory control and data acquisition (SCADA) system for water resources, but the real-time monitoring system does not combine with geographic information technology and cannot be visualized on a map [2]. The existing SCADA systems are not integrated with geoinformation technology and cannot visualize the location of water resources facilities and networks on a map [3].…”