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An Efficient Task Scheduling Method for Improved Network Delay in Distributed Sensor Networks

机译:一种改进分布式传感器网络网络延迟的高效任务调度方法

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One of the challenges in developing smart sensor networks is the minimization of network delay or at the very least be able to have upper and lower boundaries of network delay when sensor nodes respond to higher level applications. In this paper, we present a highly efficient task scheduling method based on linear programming that integrates both sensing and networking communication delay. The objective is to minimize the total response time and global power consumption of the network with respect to the total number of sensor nodes in the network. Simulation results based on closed-form solutions for the task scheduling problem are presented for two scenarios with homogeneous and six scenarios with heterogeneous sensor nodes using single level tree-network topology. Specifically, for the heterogeneous scenarios, responding sequence that results in global optimum total respond time has also been found.
机译:开发智能传感器网络的挑战之一是当传感器节点响应更高级别的应用时,网络延迟或最小能够具有网络延迟的上限和下限。本文介绍了一种基于线性编程的高效任务调度方法,其集成了感测和网络通信延迟。目的是最小化网络相对于网络中的传感器节点总数的响应时间和全局功耗。基于用于任务调度问题的闭合解决方案的仿真结果出现了使用单级树网络拓扑的同质和六种场景,具有异构传感器节点的两个场景。具体地,对于异构场景,也发现了导致全局最佳响应时间的响应序列。

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