To efficiently detect critical nodes of which result in topology segmentation in wireless sensor networks（WSNs）

design a partition detection algorithm

adapting location-independant partition detection algorithm（LIPDA）.According to local network topology information

obtain local critical nodes within range of two-hop through two iterations partition.Learn from the ideology of the distributed partition detection protocol（DPDP）algorithm

to detect basic loop in local area

send area detection package of area marked counter broadcast to local partition area connection depending on critical node i

meanwhile control lifetime of broadcast at the range of θ.When target areas have not been detected while the broadcast range goes beyond θ

the detection packets within the range of the lifetime continue loop detection with a certain probability.These area marked around node i can inhibit the diffusion of detection messages

as well as enhance loop detection efficiency.Performance analysis and experimental results show that LIPDA has advantages of lower cost

relative high accuracy and good scalability.