Priority transmission scheduling method for emergency data in body area network

Abstract

The invention discloses a method of preferentially transmitting and scheduling emergency data in a body area network. The method includes the steps that each collector node compares collected data Ai with standard data Bi which are stored in each collector node, the collected data Ai is forwarded to each concentrator node as normal data when the collected data Ai is placed in a normal range, otherwise, assignment is conducted on the data Ai by each collector node in an emergency field, the data Ai are transmitted to each concentrator node as emergency data, each concentrator node receives data sent by each collector node and figures out an emergency degree grade, the emergency degree grade is stored in the emergency field, each cluster node conducts scheduling after receiving a data package sent by each concentrator node and changes a sending sequence of the data packages, and the emergency data are made to be firstly transmitted to a base station. Emergency field zone bits are arranged in information, therefore, information priority queues are formed through division, emergency data preferential transmission is ensured, and transmission time delay of the emergency data is effectively reduced. The method of preferentially transmitting and scheduling the emergency data in the body area network is applied to the relevant field of medical body area networks.

Description

technical field [0001] The invention relates to a body area network based on a wireless communication sensor, in particular to a priority transmission scheduling method for urgent data in the body area network. Background technique [0002] Body Area Networks (Body Area Networks) is a network with special applications based on wireless sensor networks. It is mainly composed of small and highly integrated sensor nodes worn on the human body or implanted in the human body. A wireless network formed by nodes, cluster head nodes, and base stations. The sensor node is responsible for monitoring the vital signs of the human body, continuously detecting the physiological parameters of the human body and providing real-time feedback. The cluster head node is responsible for converging the data of the concentrator node for preliminary analysis and forwarding. It is a device for data scheduling and transmission between the body area network and the external public network. Body area...

AI Technical Summary

Problems solved by technology

Since the research time of body area network in our country is still relatively short, technologies such as sensors are still in the development stage, and the scheduling algorithm for solving queuing delay is not yet perfect, and it is easy to be ignored by people.

There are many problems in directly applying the scheduling algorithm of the wireless network to the body area network: (1) Under the traditional network conditions, the single-queue first-come-first-served (FCFS) strategy is generally adopted

Assuming that when the system is serving a low-priority queue, there is a higher-priority emergency signal transmitted, and it needs to wait for the system to send all the service queues before it can be detected, which does not have good real-time performance.

Moreover, in the current technology, how to properly divide the priority of queues has not been clearly defined. Some queues with high priority may often be empty, but the system still needs to detect them every time it polls. A waste of time and a waste of system resources

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