The effective coverage of supervised zones and maximized extension of network life cycles are key topics in the research on wireless sensor networks.For this purpose

this paper presents a node scheduling strategy-based effective energy coverage algorithm.On the one hand

this algorithm effectively covers the chosen targets in accordance with the node probability density formula worked out on the Poisson distribution model.On the other hand

it enables the residual energy of the sensor nodes to be in balance with the node consumption energy through the node state scheduling mechanism updating and the dynamic conversion of the neighboring node matched scheduling so as to extend the network life cycle.The simulation results show that this algorithm can implement the effective coverage of the supervised zones

optimize the network resource allocation and extend the network life cycle.