Method for calculating number of sensor network nodes

Abstract

The invention provides a method for calculating the number of sensor network nodes. The method is used for calculating the number N (M) of needed sensors on the premise that blind paths uncovered by the sensors do not exist in a target area M, the number N (M) is obtained by the product of the area / M / of the target area M and the density lambda of the sensors, and the coverage range of each sensor as a node is the area covered by a circle with the radius being r. The method is characterized in that when a probability value PS for any one path in the target area M to be a closed path S is no larger than 0.5, the blind paths exist in the target area M, and calculating is carried out at the moment to obtain the minimum density lambda S; when a probability value PL for any one path in the target area M to be a closed path L is no smaller than 0.5, the blind paths do not exist in the target area M, and the calculating is carried out to obtain the maximum density lambda L, and then the range value of the number N (M) of the needed sensors in the target area M can be obtained according to the product of the area / M / and the minimum density lambda S and the product of the area / M / and the maximum density lambda L.

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

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.

[0004] 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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