SUMMARY
In order to solve the problem of large scalability and low energy efficiency in distributed data storage in wireless sensor networks, the author proposed a temporal-centric storage approach method. By using this method the sensing data are stored in some storage node indexed by a hash function parameterized with detecting time. These nodes act as rendezvous among sink and source nodes. Simulation results show that the proposed approach mitigates the hot-spot problem and can thus improve overall system performance substantially.