基于ARIMA-ANN预测模型的能量感知路由算法

针对传统能量感知OLSR协议在减少传输功率消耗和均衡节点剩余能量之间不能兼顾的特点,提出了一种新型的基于剩余能量比例和传输功率消耗的OLSR路由协议OLSR_RC,它利用上述两方面的指标构造复合能量开销,并将其作为路由选择的度量值。在减小网络开销的同时,也防止了部分低电量节点的能量被快速耗尽,延长了网络的生存周期。此外,新路由还采用ARIMA-ANN组合能量预测模型对节点的剩余电量进行预测,降低了由于拓扑控制(TC)消息丢失对选择路由所造成的影响。这种新型路由协议在无线传感器网络领域有比较广阔的应用前景。

An energy-aware routing algorithm based on ARIMA-ANN forecasting model

Aiming at the problem that the traditional energy-aware OLSR protocol cannot reduce transmission power consumption and balance the residual energy between nodes at the same time, we develop a new routing protocol called OLSR routing protocol based on residual energy ratio and transmission power consumption (OLSR_RC ). A composite energy cost involving the above two indicators is constructed, and is used as a routing metric. On one hand, the OLSR_RC protocol reduces the total power consumption of the entire network. On the other hand, it prevents the energy of the low energy nodes from being depleted rapidly. In addition, we adopt the hybrid ARIMA ANN model for forecasting residual energy level of the nodes, which can reduce the influence on route selection caused by topology control(TC) message loss. The new routing protocol has wide application prospects in wireless sensor networks.