Time slot distribution method based on multi-factor priority in body area network

Abstract

The invention discloses a time slot distribution method based on a multi-factor priority in a body area network. The method comprises two parts of a multi-factor design and time slot distribution. The method comprises the following steps of firstly, through calculating a multi-factor weight, acquiring an initial time slot distribution sequence; secondly, considering node heterogeneity, through a time delay restriction, setting a priority and calculating maximum time delay of data after time slot distribution so as to distribute a high priority node time slot occupation number again; then, under the condition that a time slot has a residual amount, according to a descending order, distributing a low priority node time slot occupation number, and changing the priority into a high grade; and finally, in an original sequence, removing the low priority node time slot occupation number so as to acquire an optimal time slot distribution scheme. In the invention, a node can fully use the time slot; and under the condition that a packet loss ratio and an overflow rate are guaranteed, sensor node power consumption is minimum and a service life of the node is prolonged.

Description

technical field [0001] The invention relates to the fields of mobile communication and telemedicine, in particular to a time slot allocation method based on multi-factor priority in the body area network. Background technique [0002] As an important branch of wireless sensor network (WSN) in the application field, wireless body area network (WBAN) has attracted extensive attention in medical, military, entertainment and consumer electronics fields due to its portability and mobility. The development of the healthcare system has improved significantly in recent years. As the foundation of healthcare systems, wireless body area networks (WBANs) are facing challenges due to the growth of the elderly population and chronic diseases. Such as Figure 1 As shown, a WBAN consists of multiple wearable or body-implantable sensor nodes and an aggregator. The sensor node can collect, process and transmit the physiological data of the human body (such as EEG, blood pressure, blood sug...

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Problems solved by technology

(3) The attributes such as the sampling rate and the longest delay tolerance of each node are different, or even very different, so there is a large node heterogeneity

However, the duration setting of each node in the protocol is likely to cause conflicts, and the delay service will not be guaranteed

Li H et al. proposed a TDMA-based mac layer protocol, which uses a star structure and a heartbeat signal to synchronize nodes, and proposes an active synchronization mechanism, thereby reducing energy consumption between nodes. The protocol requires that each node needs to add a heartbeat sensor, which greatly increases the complexity of the system

C.Chen et al. proposed a superframe-based TDMA protocol, which proposed a new time slot allocation strategy to obtain the number of time slots and the order of time slots for each node, and then through the energy optimization model, the nodes can The protocol consumes the least amount of time, but in order to ensure high slot utilization, the protocol sacrifices the delay of some nodes

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