Network life time prolonging method for underwater wireless sensor network

Abstract

The invention discloses a network life time prolonging method for an underwater wireless sensor network, which comprises the following: 1, a base station irregular periodic motion conversion method, which is to convert the irregular base station periodic moving path in a three-dimensional environment into the combination of the z-axis circular motions of base stations and ensures that the life time of the network does not reduce after conversion; 2, a base station circular motion plane low node eliminating principle, which is to ensure that nodes below a motion plane can always find a corresponding point with the largest load on the motion plane when the base stations perform the circular motion around the z axis; 3, a base station secondary large circular motion eliminating principle, which ensures that when the base stations move in the same plane, the radius is smaller when the life time of the network is shorter; and 4, a base station motion policy, base on which multi-operator spectrum server (MOSS) base stations perform periodic circular motion at the outmost periphery of a monitored area first downwards in turn from the largest circle to the second largest circle till the bottommost part and then upwards till the largest circle in a period.

Description

technical field [0001] The invention relates to a method for prolonging the network survival time by base station movement in an underwater wireless network. Its use is mainly suitable for energy-saving applications in underwater sensor networks, and the network survival time is prolonged by utilizing the mobile controllability of the base station . Background technique [0002] Energy issues are extremely important for underwater sensor networks because underwater sensors usually have limited energy and their batteries are difficult to recharge. Charging methods such as solar power are not applicable here. We define the network lifetime (network lifetime) as the moment from the deployment of the network to the moment when the first sensor runs out of energy. The reason for this definition is that the sensor network deployed underwater is usually relatively sparse, because ultrasonic transmission usually It can be transmitted over a long distance, and a node runs out of ene...

AI Technical Summary

Problems solved by technology

In the previous literature, the conclusion is that when the base station moves around the center of the circle, the maximum value of the load of the node can reach the minimum value in other motion situations, but in the three-dimensional environment, when the base station moves around different centers , the maximum value of the node's load appears in different places, if we use a combination of different circular motions, the survival time of the network will be longer than in the case of one circular motion

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