Fairness-based sensor energy consumption and service life balancing method and unmanned aerial vehicle Internet of Things system

Abstract

The invention relates to a fairness-based balancing method for energy consumption and service life of sensors in an unmanned aerial vehicle Internet of Things system, and the unmanned aerial vehicle Internet of Things system comprises a plurality of sensors and at least one unmanned aerial vehicle which communicates with the plurality of sensors. The method comprises the following steps: S1, calculating the service life of a sensor based on the residual node energy and transmission energy consumption of each sensor; S2, establishing an alpha-utility function based on alpha-fairness based on the service life of the sensor, and solving the alpha-utility function to obtain the optimal flight path of the unmanned aerial vehicle; and S3, controlling the flight of the unmanned aerial vehicle based on the optimal flight path.

Description

technical field [0001] The present invention relates to the UAV-Internet of Things field, and more specifically, relates to a method for balancing energy consumption and life of sensors in an UAV Internet of Things system based on fairness and the UAV Internet of Things system. Background technique [0002] The rise of Internet of Things (IoT) systems has given us access to real-time information about our surroundings. However, collecting IoT data in hostile and inaccessible areas without infrastructure support is a challenging problem due to the inherent physical limitations associated with tiny sensors. A feasible solution to this problem is to use agile and controllable unmanned aerial vehicles (UAVs) to collect ground data and forward it to a remote cloud for further processing. In this UAV IoT scenario, the limited battery power carried by the tiny sensors must be efficiently utilized to prolong the lifetime of the IoT system. [0003] In order to prolong the lifetime...

AI Technical Summary

Problems solved by technology

However, in the scheme of minimizing the total energy consumption, the inhomogeneity between sensors is actually ignored, which will lead to an imbalance of energy consumption, which in turn will lead to premature exhaustion of "weak" sensor power supply and lead to node failure.

Therefore, minimizing the total energy consumption is not effective in prolonging the system lifetime due to energy consumption imbalance among sensors, and can actually cause some overloaded nodes to drain their batteries prematurely.

Images