A Time Slot Allocation Method Based on Multi-factor Priority in Body Area Network

Abstract

The invention discloses a method for allocating time slots based on multi-factor priority in a body area network. The method includes two parts: multi-factor design and time slot allocation. Its main steps: firstly, the initial time slot allocation order is obtained by calculating the multi-factor weight, and secondly, on the basis of considering the node heterogeneity, the priority is set through the delay limit, and the maximum data delay after the allocated time slot is calculated to reassign the high priority Number of timeslots occupied by level nodes. Then assign the number of time slots occupied by low-priority nodes in descending order when there is a surplus in the time slot, and change the priority to high-level. Finally, in the original sequence, the occupancy of time slots of low-priority nodes is removed to obtain the optimal time slot allocation scheme. The invention can make the nodes make full use of time slots, minimize the power consumption of the sensor nodes under the condition of ensuring the packet loss rate and overflow rate of data, and improve the service life of the nodes.

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...

AI Technical Summary

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

Images