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提出一种节能的无线传感器网络跨层结构(TEPA).TEPA采用跨层设计,在网络层和MAC层之间交互信息以实现高效率的数据传输.TEPA结合了网络的邻居拓扑信息和路由信息,使用微分进化算法(DE)优化MAC层的TDMA时隙配置,减少了数据汇聚树上各分枝之间的冲突,并且加速了单个分枝路径上数据的传递,既节约能量又降低延迟.与以往的协议不同,TEPA根据吞吐量和延迟在不同负载下的折衷找到了最优而非最短的TDMA调度时间表长度.仿真验证了TEPA在能耗与延迟方面的改善.
An energy-efficient wireless sensor network cross-layer architecture (TEPA) is proposed.TEPA uses cross-layer design to exchange information between the network layer and the MAC layer to achieve efficient data transmission.TEPA combines the network topology information and routing information , The use of differential evolution algorithm (DE) to optimize the MAC layer TDMA slot configuration to reduce conflicts in the data aggregation tree branches, and accelerated the transmission of data on a single branch path, both to save energy and reduce latency. Unlike previous protocols, TEPA found the optimal rather than the shortest TDMA scheduling schedule length based on throughput and latency trade-offs at different loads. Simulations validated TEPA’s improvement in power consumption and latency.