Wireless sensor network distributed hibernation method based on probability statistics

Abstract

The invention discloses a wireless sensor network distributed hibernation method based on probability statistics, belonging to the technical field of communication network. After distributed hibernation process is started, when being in a redundant state, a node to be tested sends hibernation announcement message to nodes at the same layer, a forward node and a backward node; the forward node modifies the working state of the node to be tested in neighbor node list into a hibernation state; when the node to be tested is not the only one in an activated state in the nodes at the same layer or not the only forward node in the activated state of the backward node, the nodes at the same layer and the backward node modify the working state of the node to be tested in the neighbor node list intoa hibernation state; the node to be tested can be used for closing a wireless communication module and is formally switched into the hibernation state; and after a hibernation timer is time-out, thenode to be tested sends hibernation awaking message to the nodes at the same layer, the forward node and the backward node. The method can guarantee the network connectivity and lead the network nodesto do self-adapting hibernation adjustment according to different application awareness.

Description

technical field [0001] The invention belongs to the technical field of communication networks, and in particular relates to a distributed dormancy method for a wireless sensor network based on probability statistics. Background technique [0002] In recent years, with the continuous progress of microelectronics technology and communication technology, sensor nodes are gradually developing in the direction of miniaturization and intelligence. The network composed of these small and cheap sensor nodes can effectively perceive the physical world with its ubiquitous sensing and computing characteristics, which further improves the ability of human beings to obtain objective information, and is widely used in military, environmental monitoring, It has important research value and application prospects in many fields such as smart home, building monitoring and medical care. [0003] The wireless sensor network collects the surrounding environment information through the sensor no...

AI Technical Summary

Problems solved by technology

The reasons for energy waste are as follows: 1. Collision, a sending packet is damaged and has to be discarded, and the subsequent packet retransmission increases energy consumption; 2. Packet listening, energy consumption when a node receives and sends packets to other nodes; 3. Control packet overhead, and control the sending and receiving of packets requires energy consumption; 4. Idle listening, listening and receiving may be sent but energy is consumed when the packet has not been sent

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