Cooperative networking method of multi-WBAN coexisting network

Abstract

The invention provides a low-energy consumption cooperative networking method based on weighting clustering in a multi-WBAN coexisting network. The cooperative networking method is applied to a multi-WBAN coexisting scene and mainly aims at solving the problem of high energy consumption of a wearable device due to communications using WiFi. According to the method, on the basis of WiFi and Bluetooth combination, a weighting clustering policy is introduced; a terminal relatively high in residual energy, relatively low in movement speed and relatively close to a base station is found as a cluster head; the cluster head communicates with the device of a neighboring user by using Bluetooth, collects data, and communicates with an AP by using WiFi. While the communication quality of a user is ensured, unnecessary energy overhead of the WiFi interface of the device is reduced, the network energy utilization efficiency is improved and the use time of the wearable device is prolonged, and therefore, the whole network is enabled to have a longer stable communication service life.

Description

technical field [0001] The invention belongs to the field of wireless communication, and relates to a technology for cooperative communication and weighted clustering of wearable devices using WiFi and Bluetooth in a multi-WBAN coexistence network. Background technique [0002] With the rapid development of wearable technology, wearable devices have been widely used in medical care, health monitoring and other fields. Due to the small size of wearable device sensors and limited energy resources, how to extend the use time of wearable devices while ensuring high-quality user experience has become one of the main challenges facing today. With the increase in the number of current WBAN users, the wearable devices of each user within a certain geographical range form a multi-WBAN coexistence network system. Compared with an isolated WBAN network, the multi-WBAN coexistence network scenario provides more energy saving solutions. possibility. [0003] In the traditional WBAN net...

AI Technical Summary

Problems solved by technology

However, this scheme does not consider factors such as the user's moving speed and geographical location. When the cluster head moves fast and is far away from the AP, the child nodes have a higher probability of communication failure.

In addition, due to the short-distance characteristics of Bluetooth communication, the clustering result is affected by the geographical distribution of users, and the clustering failure may be caused by the linear topology of the nodes.

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