WSN中基于子博弈的节点能量优化算法研究

引用子博弈精炼模型对节点参与路由进行建模,基于安全度设计一个评价函数,对参与路由的节点进行合作度奖励而对没有参与路由的节点实施惩罚。避免了过度信任与使用某个节点,均衡了网络节点的能量消耗,优化了网络节点能量的利用率。实验结果表明,该算法与传统算法相比在相同的时间里具有较少的死亡节点,延长了网络寿命,并具有较强的鲁捧性。

Node energy optimization algorithm research based on subgame in WSN

The paper quotes the theory of subgame perfect nash equilibrium to model the reference node which is involved in routing. It designs an evaluation function based on safety, rewards or penalizes the routing nodes. This can avoid excessively trust and using one node, balance the network nodes energy consumption and optimize network node energy utilization. The experimental results show that there are less death nodes compared with the traditional method in the same time, and can prolong the life span of the network, and it also has strong robustness.