A wireless sensor network power control method
A wireless sensor and power control technology, applied in wireless communication, power management, network topology and other directions, can solve the problems of infeasibility, the optimality of energy control algorithms cannot be guaranteed, and state estimation is difficult, and achieve the effect of prolonging the survival time.
Active Publication Date: 2020-09-01
浙江省产品质量安全检测研究院 +1
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Problems solved by technology
However, it is difficult to obtain reliable state estimation in sensor networks with multiple nodes and multi-hop transmission.
Most of the existing energy control methods ignore or simplify various uncertain factors in the network, making the optimality of the energy control algorithm impossible to guarantee or even infeasible in practical applications.
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[0040] In order to further understand the present invention, the preferred embodiments of the present invention are described below in conjunction with the examples, but it should be understood that these descriptions are only to further illustrate the features and advantages of the present invention, rather than limitation of the claims of the present invention.
[0041] Such as Figure 1-2 Shown, a kind of wireless sensor network power control method, this method comprises the following steps:
[0042] (1) Establish the transmit power iteration equation of each node at k+1 time:
[0043] P(k+1)=P(k)+α(d(k)-a(k)) (1)
[0044] Among them, P(k) is the transmission power of the sensor node at time k, d(k) is the expected signal-to-noise ratio of the sensor node at time k, a(k) is the actual signal-to-noise ratio of the sensor node at time k, and α is The step size coefficient of , in the actual situation, α often takes a value between 0 and 1;
[0045] (2) Establish the model...
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The invention discloses a power control method for a wireless sensor network. The method comprises the following steps of establishing a transmitting power iterative equation of each node, and modelsof an actual signal-to-noise ratio and an expected signal-to-noise ratio, introducing a state variable in order to enable the actual signal-to-noise ratio to tend to the expected signal-to-noise ratio, converting a design problem of a controller into a solvability problem of a class of linear inequalities through a Lyapunov stability theorem, and a sufficient condition that the actual signal-to-noise ratio is converged to the expected signal-to-noise ratio through solving a class of matrix inequalities in order to obtain an iterative algorithm for power control. According to the method, a power and rate combined control method is adopted, the transmission rate of the nodes is adaptively adjusted, and the method can be embedded into various application scenes of the wireless sensor networkas an independent algorithm module. Power control is carried out on the wireless sensor network, so that the optimal transmission power can be selected for each node, and thus the life time of the network is prolonged.
Description
technical field [0001] The invention relates to the field of automatic control, in particular to a power control method of a wireless sensor network. Background technique [0002] Wireless sensor networks are widely used in the fields of national defense and military, environmental monitoring, medical and health care, smart home and manufacturing, and their typical characteristics are that the energy, computing power and data storage capacity of network nodes are very limited. How to reduce the energy consumption of sensor networks has become the core issue in this field. Before there is a breakthrough in the technology of improving battery capacity, reducing the energy consumption of nodes is a realistic and feasible way. On the other hand, even if the battery capacity is large enough, measures should be taken to reduce the interference between nodes and increase the throughput. This puts forward an urgent requirement for an effective power control strategy. The current ...
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IPC IPC(8): H04W52/24H04W52/26H04W52/36H04W84/18
CPCH04W52/241H04W52/267H04W52/362H04W84/18
Inventor 董建勇顾航徐建楚陈卫东李林先陆佳杰
Owner 浙江省产品质量安全检测研究院