Aiming at decrease of quality of service（ QoS） of routing which caused by cavity effect of node in nonconnected region and communication interference between nodes in hot spots

a cross-layer routing optimization algorithm for wireless sensor networks（ WSNs） based on the optimal connectivity power control is proposed. The algorithm uses adaptive optimal connectivity power control strategy to avoid generating routing holes and guarantee network connectivity

so as to reduce data forwarding competition interference of nodes in hot spots; in order to improve overall performance of network

optimal forwarding node is dynamically selected

through cross layer information exchange of location information

remaining energy

and interference level. Simulation experiment show that the algorithm can improve QoS of routing

optimize network life cycle and reduce communication interference in hot spots.