Node sleeping scheduling method under environment of several-for-one clustering wireless sensor network

Abstract

The invention discloses a node sleeping scheduling method under an environment of a several-for-one clustering wireless sensor network. The node sleeping scheduling method comprises the following steps: 1) initializing a network; 2) obtaining a data aggregation tree of a wireless sensor network and obtaining a route matrix R; 3) confirming a periodic running method of a cluster head node, constructing a cross-layer optimization model based on energy consumption, and obtaining a sleeping scheduling method for each cluster head node; 4) starting to run and uploading data to a father node; 5) before each node enters into a sleeping state, obtaining the next node sleeping scheduling method for the node; 6) judging if the energy of the cluster head node is used up; and 7) if the energy of the cluster head node in a backbone network is used up, adopting a routing lookup algorithm and judging if the present remained backbone network node can reconstruct the data aggregation tree, if yes, returning to the step 2, and if not, ending. According to the node sleeping scheduling method provided by the invention, the times for switching the node state are extremely reduced and the energy loss of idle monitoring is avoided.

Description

technical field [0001] The invention relates to a node sleep scheduling method in a many-to-one cluster wireless sensor network environment, and belongs to the technical field of wireless sensor networks. Background technique [0002] Wireless sensor network is a wireless network without infrastructure, which can monitor, perceive and collect information of various environments or monitoring objects in the network distribution area in real time, process these data, and finally transmit the information to user. [0003] The number of sensor network nodes is huge, and they are often distributed in areas with harsh environments. It is inconvenient to charge or replace batteries at any time, but the network requires a long life. Therefore, how to reasonably use the energy of sensor nodes and design low-energy network protocols to extend The lifetime of sensor network is an important issue in wireless sensor network research. [0004] The wireless transmission of wireless senso...

AI Technical Summary

Problems solved by technology

Since the time of data generated by the network environment is not fixed, many nodes will be in a state of idle listening for a long time, consuming a lot of energy

[0005] In the existing sleep scheduling algorithm, the core idea is to reduce the time that the nodes are in the idle listening state, so that as many nodes are in the sleeping state as possible, but there are two defects: (1) In some sleep scheduling algorithms, only simple Switch the node that has completed the data sending and receiving work from the idle listening state to the sleeping state. Although this can ensure the sleep time of the node to the greatest extent, frequent state switching will also consume a lot of energy, and the total energy consumption may not be reduced. Moreover, frequent state switching causes node-related working devices to be shut down and started frequently, which will also reduce the life of the node to a certain extent; The way of reducing the number of state switching times can reduce the energy consumption of the state transition part, but such a plan cannot minimize the idle listening. According to the plan, some nodes will not switch to the sleep state when they are idle listening

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