摘要
为了解决现有的移动参考节点行程规划方案中存在着参考节点周期移动距离过长等问题,提出一种基于包含属性优先级的参考节点行程规划方案。该方案根据网络区域中无线传感器节点的分布情况,自动搜索出同步点坐标位置,利用蚁群算法的迭代优化,实现了对移动参考节点行程的有效规划。实验验证了该方案的可行性与优越性。
In order to solve the problem that the cycle moving distance of the reference node is too long in the existing mobile reference node path planning schemes,a reference node path planning scheme based on node inclusion-attribute priority is proposed.According to the distribution of wireless sensor nodes in the network area,the scheme can automatically search for the coordinates of synchronization points,and then the iterative optimization of the ant colony algorithm is used to achieve the effective path planning of the reference node.The experiment verifies the feasibility and superiority of the scheme.
作者
杨冠杰
张向利
张红梅
YANG Guanjie;ZHANG Xiangli;ZHANG Hongmei(Key Laboratory of Cloud Computing and Complex System, Guilin University of Electronic Technology, Guilin 541004, China)
出处
《桂林电子科技大学学报》
2018年第2期112-116,共5页
Journal of Guilin University of Electronic Technology
基金
国家自然科学基金(61363031
61461010
61462007)
广西高校云计算与复杂系统重点实验室基金(14101)
关键词
包含属性
选址模型
蚁群算法
路径规划
inclusion-attribute
location model
ant colony algorithm
path planning
