Avoiding Holes in Node Scheduling Coverage in Wireless Sensor Networks

Abstract

The invention discloses an avoidance method of a node scheduling coverage hole in a wireless sensor network. The method comprises the steps that under the premise of ensuring the coverage of a monitoring area, according to the energy consumption conditions of nodes, node states are reasonably distributed; if the residual energy is greater than the given threshold value, the nodes enter an energy-saving dormant state; if the residual energy is less than the given threshold value, and the nodes meet the dormant conditions, the nodes enter a deep sleep state of which the time is longer than the dormant time; if the nodes do not meet the dormant conditions, the nodes send information for help to neighbor nodes, and the neighbor nodes automatically check whether the neighbor nodes meet support conditions or not and then support the nodes. The avoidance method provided by the invention is mainly used for solving the coverage hole problem of a node region caused by node failure due to the too fast consumption of energy of part of nodes in a node scheduling mechanism, thus saving the network energy, and effectively prolonging the survival time of the whole network.

Description

technical field [0001] The invention relates to the application field of wireless sensor network topology control, in particular to a method for avoiding node scheduling coverage holes in a wireless sensor network. Background technique [0002] The wireless sensor network is a network monitoring system composed of a large number of sensor nodes densely deployed in the monitoring area. Its main task is to accurately obtain valuable information in the objective physical world, automatically monitor the occurrence of targets and events in real time, and report and process events in a timely manner. , it expands the scope of human perception of the objective physical world, and helps people better understand and perceive the surrounding objective environment in real time. It has broad application prospects in the fields of environmental monitoring, medical care, industrial environment, transportation and military. [0003] At present, in the application of sensor network, the s...

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