WSANs中一种基于能耗自适应的多反应节点的选择算法

A Multi-Actors-Selection Algorithm Based on Adaptive Energy Consumption in Wireless Sensor and Actor Networks

为减少无线传感器反应网络(WSANs)中传感节点和反应节点间数据包的传输距离及传输能耗,在分析了传感节点与多个反应节点共存模型的基础上,提出了一种分布式的跳数有限且能耗自适应的多反应节点选择算法,并给出了相应的最优解决方案的整数线性规划(ILP)描述.该算法在修改了贪婪转发路由算法的基础上,通过限定传感节点到反应节点的跳数以及重新计算从每个用于数据转发的传感节点到每个反应节点的能耗,来达到保证实时收集数据条件下降低网络总能耗及数据传输总距离的目的.仿真实验表明,该算法能够有效地实现数据收集的实时性与网络总能耗之间的平衡.图3,参8.

A distributed hop-bounded and adaptive energy consumption resolution for the multi-actor-selection algorithm were given to reduce the total transmission distance and the total consumed energy from sensors to actors for the wireless sensor and actor networks（WSANs）.And it＇s description of the corresponding optimal solution by ILP was given. In this algorithm,based on the modified forwarding routing algorithm, the total transmission distance and the total consumed energy of WSANs was reduced by limiting the number of hops from source nodes to actors and recomputing the energy consumption to every actor node on every relay sensor node while guaranteeing that data collection still met the real-time requirement simultaneously. The simulations demonstrate that the proposed algorithm can effectively reach the balance-between the real-time requirement of data collection and the total energy consumption of the network. 3figs., 8refs.