Node energy self-adaption management strategy of wireless sensor network

Abstract

The invention discloses a node energy self-adaption management strategy of a wireless sensor network. Because the node energy of a wireless sensor is limited, the consumed energy of the node in different work modes is different, by aiming at the characteristics of the node of the wireless sensor, firstly, a self-adaption transmission mechanism based on the channel and buffer region state is built, secondly, the data packet virtual partitioning technology is further introduced on the basis of an ordinary transmission mechanism, a self-adaption partitioning transmission mechanism based on the channel and buffer region is formed, problems are modeled into a Markov decision process model, an intelligent study optimization algorithm is utilized for solving the optimum strategy, the goals of reasonably selecting the mode work mode and the data packet partitioning size are realized in different network channel and node buffer region states, and the energy utilization rate of the node is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor network energy saving, and in particular relates to a node energy self-adaptive management strategy of a single wireless sensor network for node working mode and data packet fragmentation size selection. Background technique [0002] Different from traditional networks, wireless sensor networks are usually composed of hundreds or even thousands of sensor nodes, and use multi-hop transmission for wireless communication. Sensor nodes are small in size and generally powered by batteries, resulting in very limited energy carried by them. However, sensor nodes are usually deployed in harsh environments or uninhabited areas, and it is difficult to replace the nodes after the energy of the sensor nodes is exhausted. If some nodes in the network fail due to energy exhaustion, especially the death of key nodes, the network coverage area will be reduced, and the connectivity and reliability of the ...

AI Technical Summary

Problems solved by technology

[0005] 1. The sensor nodes are small in size and are generally powered by batteries, resulting in very limited energy carried by them, and are generally deployed in remote or dangerous areas. It is not easy to replace the nodes after they die due to energy exhaustion.

If a key node in the network leaves the network due to death, the coverage area of ​​the entire network will be reduced, and the information collected by other nodes cannot be transmitted to the monitoring personnel, affecting the connectivity and accuracy of the entire network

[0006] 2. The sensor node has a variety of working modes. It is not necessary to keep the node in the working state all the time. If you do not need the components of the node to enter the working state, you can make some components of the node enter the idle or sleep state, and wake it up again when needed.

Images