Adaptive Controlling Mechanism for Data Duplicates Based on Prediction in WSN

The minimum hop routing (MHR) wireless sensor networks have some potential advantages such as the shortest communication path, the least time delay of data sinking and the lowest energy dissipation, but these merits couldnt be brought into play at the length in original MHR wireless sensor networks. In order to bring the merits into full play, an adaptive controlling mechanism based on prediction for data packet duplicates is presented to form MHR-DC data sinking model. In MHR-DC wireless sensor networks, the hops of data packet being forwarded to the sink node go nearly the same with MHR wireless sensor networks, traffic load generated by every source node could be high reliably transported to the sink node with the help of the agent node which is in the same gradient level with the source node, energy efficiency of data sinking is improved by reducing data duplicates in the process of data packet transporting hop by hop, traffic load is balanced through keeping away from the region in which the node has heavy forwarding load, the merit of low delay is enhanced by reducing the collision probability of data packets in shared wireless channel, and the integrative performance is optimized by improving the reliability and decreasing the energy dissipation. Theoretical analysis and simulation results validate the effectiveness of the mechanism.