Li Zi, Gao Chunling, Sun Zeyu, et al. Probability model-based optimization coverage algorithm for wireless sensor networks. [J]. (4):68-71(2015) DOI: 10.13756/j.gtxyj.2015.04.022.
Probability model-based optimization coverage algorithm for wireless sensor networks
In order to better eliminate such phenomena as large amounts of redundant information and imbalanced node energy consumption in the covering process of Wireless Sensor Networks(WSN)
this paper proposes an optimal covering algorithm for node energy balance.By using the subordinate relationship between the sensor nodes and destination nodes in the monitoring area
this algorithm builds a network model and gives such dependence.Then
on the basis of the dependence and the probability theory
it solves the expected value of the sensor nodes in covering the destination nodes and then calculates the least number of sensor nodes required for covering the monitoring area.The experimental results indicate that this algorithm cannot only use the least sensor nodes to effectively cover the monitoring area
but also resist the generation of redundant information data