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Cluster Node Deployment for Wireless Sensor Networks in Mining Tunnels

机译:挖掘隧道中无线传感器网络的集群节点部署

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In wireless Sensor Networks (WSNs), node placement plays a significant role to meet design goals such as cost effectiveness, connectivity, lifetime, and data latency.In this paper, we propose a new algorithm to assist in the placement of nodes for a WSN monitoring underground tunnel infrastructure.To improve the nodes utilization rate, we define a minimization problem of the whole number of nodes which are used in a tunnel monitoring.We find a relationship between self-organized clusters which are composed of a multi-path hop route to collect monitoring data.The relationship leads to a multi-objective optimization problem.Therefore, we make use of particle swarm algorithm, which is appropriate to multi-objective optimization problem, to search for an optimized results.Our result would be helpful for saving cost of nodes deployment and improve efficiency of energy in linear WSNs.
机译:在无线传感器网络(WSN)中,节点放置在满足成本效益,连接,寿命和数据延迟之类的设计目标中起着重要作用。在本文中,我们提出了一种新的算法,可以帮助将节点放置为WSN的节点监控地下隧道基础架构。要提高节点利用率,我们定义了在隧道监控中使用的整个节点的最小化问题。我们在自组织群集之间找到了由多路径跳路径组成的关系收集监测数据。该关系导致多目标优化问题。因此,我们利用粒子群算法,这适用于多目标优化问题,搜索优化的结果。我们的结果将有助于节省节点部署的成本并提高线性WSN中的能量效率。

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