摘要
对于资源受限的移动传感器网络的部署问题,提出了采用多目标遗传算法的动态和安全部署策略。具体实现是将随机部署的移动传感器划分和放置到一个具有簇头和最佳路由的独立簇的最优数目中,簇头从其成员传感器收集数据,并通过最具成本效益的路由以压缩和安全的方式将收集到的数据发送到接收器。一旦部署完毕,通过移动(或重定位)自身来最大化它们的覆盖范围,从而实现目标的安全覆盖和监测。实验结果表明,相比于静态部署,提出的动态部署不仅提高了传感器的覆盖率,而且在保证安全性的同时降低了节点丢失百分比。
For the deployment problem of resource-constrained mobile sensor networks,a dynamic and secure deployment strategy based on multi-objective genetic algorithm is proposed.The concrete implementation is to divide and position randomly deployed mobile sensors into an optimal number of independent clusters with cluster heads and optimal route,and cluster-head collects data from its member sensors and sends them to the sink in a compressed and secure manner via the most cost-effective router.Once deployed,these sensors maximize their coverage by moving themselves(or relocating)to achieve target security coverage and monitoring.The experimental results show that,compared with static deployment,the dynamic deployment proposed not only improves the coverage of the sensor,but also reduces the percentage of nodes lost while ensuring the security.
作者
徐友洪
童根树
XU Youhong;TONG Genshu(College of Information Engineering,Quzhou College of Technology,Quzhou Zhejiang 324000,China;College of Civil Engineering,Zhejiang University,Hangzhou Zhejiang 310058,China)
出处
《电子器件》
CAS
北大核心
2022年第2期460-467,共8页
Chinese Journal of Electron Devices
基金
浙江省教育厅科研项目(Y201738109)
衢州市科技计划指导性项目(2020017)
