计算机工程2019，Vol.45Issue(2)：13-17,5.DOI:10.19678/j.issn.1000-3428.0049194
基于改进猫群算法的物联网感知层路由优化策略
Routing Optimizaton Strategy of IoT Perception Layer Based on Improved Cat Swarm Algorithm
摘要
Abstract
Aiming at the bottleneck of data transmission caused by the energy limitation of sensor nodes in Internet of Things (IoT), this paper proposes a routing optimization strategy based on improved Cat Swarm Optimization (CSO).The cat swarm optimization algorithm is improved. Each cat changes its own MR, SMP and inertia weight dynamically in each iteration process based on the number of iterations, energy of the path nodes and fitness. When the path is generated, path residual energy variance, node energy, node load, node distance four factors are taken into account, and the idea of backup routing is introduced to ensure the real time. Simulation results show that the optimization strategy can effectively reduce the optimal path construction time and balance the network energy consumption, and prolong the life cycle of the perception layer network of the IoT.关键词
物联网/路由优化/猫群优化/动态调整/备份路径/能耗均衡Key words
Internet of Things (IoT)/routing optimization/Cat Swarm Optimization (CSO)/dynamic adjustment/backup path/energy consumption balance分类
信息技术与安全科学引用本文复制引用
陶亚男,张军朝,王青文,张俊虎..基于改进猫群算法的物联网感知层路由优化策略[J].计算机工程,2019,45(2):13-17,5.基金项目
山西省重大科技专项 (20131101029) （20131101029）
2017年山西省研究生教育改革研究课题 (2017JG25) （2017JG25）
横向科技项目 (2013-1401-05-000313). （2013-1401-05-000313）
