Variable Cycle Predictive Lifespan Balance-based Data Gathering Algorithm for Wireless Sensor Networks
The demand for digital transformation of large-scale industrial systems such as smart grids is increasing year by year,and the corresponding wireless sensors have been widely deployed.However,the autonomy of wireless sensors is very limited,and energy-efficiency optimization for corresponding self-organized networks is of great significance because it can significantly improve the lifetime.To this end,a variable cycle predictive lifespan balance-based data gathering algo-rithm for wireless sensor networks (WSN)is proposed.First the system model of WSN for the remote sensing demand in a specified area is established,and then the energy-efficient data gathering algorithm based on variable cycle predictive li-fespan balance is proposed.Finally the proposed algorithm is proved by simulation analysis to be able to effectively balance the residual energy of nodes through topology reconstruction,optimize the network's energy efficiency,and significantly improve the lifetime of WSN.
data gatheringenergy efficiency optimizationfuzzy affiliationwireless sensor networks
万方数据
维普
