The calculation method of the number of sensor network nodes

Abstract

The method for calculating the number of sensor network nodes provided by the present invention is used to calculate the number N(M) of sensors required under the premise that there are no blind paths not covered by sensors in the target area M, and the number N(M) is determined by the target The product of the area |M| of the area M and the density λ of the sensor is obtained. The coverage of each sensor as a node is the area covered by a circle with a radius of r. It is characterized in that: when any path in the target area M belongs to S When the probability value PS of the closed path is not greater than 0.5, there is a blind path in the target area M. At this time, the minimum density λS can be calculated. When the probability value PL of any path in the target area M belongs to the L closed path is not less than 0.5 , then there is no blind path in the target area M, and the maximum density λL can be calculated at this time, and then the number of sensors required in the target area M can be obtained according to the product of the area |M| with the minimum density λS and the maximum density λL ( M) range value.

Description

technical field [0001] The invention relates to a sensor network node number calculation method capable of calculating the number of sensors required under the premise that there is no blind path not covered by sensors in the target area. Background technique [0002] The wireless sensor network is composed of a large number of cheap micro sensor nodes deployed in the target area, and forms a multi-hop self-organizing network system through wireless communication. Its purpose is to cooperatively perceive, collect and process the perceived objects in the network coverage area. information and send it to observers. There are many types of sensors that can detect a variety of phenomena in the surrounding environment including electromagnetic, temperature, humidity, noise, light intensity, pressure, size, speed and direction of moving objects. Therefore, it is widely used in various fields such as military, aviation, explosion-proof, disaster relief, environment, medical treatm...

AI Technical Summary

Problems solved by technology

However, in some special cases, due to military, political or natural conditions and other reasons, the sensors cannot be artificially and accurately placed in each required position, and the sensors can only be scattered in the target area by means of aircraft or artillery in the form of submunitions. Due to the uncertainty of the scatter area and scatter density formed by the sensor throwing, it is very likely that there is a blind path in the target area that is not covered by the sensor, resulting in the detected target passing through the target area but not being detected

[0004] Therefore, the problem of sensor network node distribution has always been a key issue in this field. At present, the occurrence of this situation can only be reduced by throwing a large number of sensors, which is a serious waste of resources.

In the existing technology, on the premise of ensuring that there is no blind path in the target area after being scattered, find out the range of the number of sensors required. At present, there is no fast and effective calculation method for the above problems, which is a problem to be solved

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