最小跳数路由无线传感器网络具有自动倾向于路径最短、时延最小、能量最省的潜在优点,但已有机制尚不能保证这些优点的充分发挥.为充分发挥最小跳数路由无线传感器网络的潜在优势,在传统的最小跳数路由无线传感器网络数据汇聚机制的基础上,引入基于预测的自适应数据副本保证与抑制机制,形成MHR-DC网络模型.MHR-DC网络在基本不增加数据分组汇聚全程转发跳数的前提下,通过同跳节点代传以保证所有源生负载的高可靠传输、通过抑制数据分组的重复传送程度以提高网络能量效率、通过避开转发负载重的节点区域以达到负载均衡,优化网络综合性能指标,并增强网络时延最小的潜在优势.理论及仿真分析表明,该机制能保证网络数据传输的高可靠性和能量有效性以及优越的网络综合性能.
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.