中文摘要：

提出了一个基于信誉模型的认知物联网非均匀分簇路由算法，综合考虑能量和信誉因素．在簇的建立阶段，采用非均匀分簇机制来控制簇头竞争者的竞争半径，从而进一步节约认知物联网的能量．在簇首选举阶段，引入信誉机制对节点进行信誉评估，并使用节点的剩余能量和信誉值作为选取最佳簇首的评判依据．仿真结果表明提出的算法能够有效地均衡网络能量分布、增加网络可靠性．

英文摘要：

In this paper, we present an uneven clustering routing algorithm based on reputation model in CIoT considering both energy saving and reputation assessment. In the cluster establishment phase, we adopt an uneven clustering mechanism which controls the competitive scope of cluster head candidates to save the energy of CIoT. In the cluster heads election phase, the residual energy and reputation value are used as the indexes to select the optimal cluster head, where the reputation mechanism is introduced to support reputation assessment. Simulation results show that the proposed algorithm can balance network energy distribution and enhance network reliability.