Fog node self-organizing cooperation method based on mobile IP

Abstract

The invention provides a fog node self-organizing cooperation method based on a mobile IP (Internet Protocol). The method comprises the steps that a working fog node sends a node information frame toa management fog node at the beginning or the end of work or every other certain period to update a routing table; the management fog node performs task distribution decision according to task conditions, and constructs a work domain by combining the plurality of work fog nodes according to needs after receiving the tasks; the management fog node monitors the position of a mobile terminal after constructing the working domain, and after leaving the subnet, the mobile terminal requests the management fog node newly entering the subnet to transfer an address and registers to a local agent; and after the task is finished, the local agent relieves the occupation of the working fog node, releases the working domain and recovers the IP allocated to the mobile terminal. According to the method provided by the invention, nodes participating in fog computing can form a distributed computing platform in real time to timely adapt to the change of a workload, so that the computing time delay is reduced; a fog node working domain group with a dynamically variable topology is realized; and extensible computing resources are provided for the terminal.

Description

Technical field [0001] The present invention relates to the field of communication technology, and in particular to a method for self-organization and cooperation of fog nodes based on mobile IP. Background technique [0002] In recent years, with the rapid development of the Internet of Things, emerging service models such as smart cities and smart homes are gradually entering people's lives. With the widespread application of smart sensor devices and smart terminals, the amount of data they generate and the demand for mobile computing are increasing exponentially. Therefore, part of the cloud computing tasks are offloaded to the near user terminal for processing. While meeting the task time requirements, fog computing that reduces the overall operating cost is gradually becoming a popular solution. Fog computing can extend the cloud computing paradigm to the edge of the network, and has broad application prospects in Internet of Things services. Fog computing can effectively ...

AI Technical Summary

Problems solved by technology

In addition, in the application scenario of mobile computing covered by Wi-Fi, when the terminal device enters the coverage area of ​​another subnet from one subnet as the user moves, the original network connection needs to be disconnected due to the change of the gateway. The communication cannot be continued until the IP address of the new subnet is obtained again, which has a certain impact on the delivery of mobile computing tasks

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