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Deployment of Distributed Applications in Wireless Sensor Networks

机译:在无线传感器网络中部署分布式应用程序

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摘要

The increase in computation and sensing capabilities as well as in battery duration of commercially available Wireless Sensors Network (WSN) nodes are making the paradigm of an horizontal ambient intelligence infrastructure feasible. Accordingly, the sensing, computing and communicating infrastructure is set with a programmable middleware that allows for quickly deploying different applications running on top of it so as to follow the changing ambient needs. In this scenario, we face the problem of setting up the desired application in complex scenarios with hundreds of nodes, which consists of identifying which actions should be performed by each of the nodes so as to satisfy the ambient needs while minimizing the application impact on the infrastructure battery lifetime. Accordingly, we approach the problem by considering every possible decomposition of the application’s sensing and computing operations into tasks to be assigned to each infrastructure component. The contribution of energy consumption due to the performance of each task is then considered to compute a cost function, allowing us to evaluate the viability of each deployment solution. Simulation results show that our framework results in considerable energy conservation with respect to sink-oriented or cluster-oriented deployment approaches, particularly for networks with high node densities, non-uniform energy consumption and initial energy, and complex actions.
机译:商业上可用的无线传感器网络(WSN)节点的计算和传感功能以及电池使用时间的增加,使得水平环境智能基础架构的范例变得可行。因此,传感,计算和通信基础设施设置有可编程中间件,该中间件允许快速部署在其之上运行的不同应用程序,以适应不断变化的环境需求。在这种情况下,我们面临的问题是在具有数百个节点的复杂情况下设置所需的应用程序,这包括确定每个节点应执行哪些操作,以满足环境需求,同时最大程度地减少应用程序对节点的影响。基础设施电池寿命。因此,我们通过考虑将应用程序的传感和计算操作分解为要分配给每个基础结构组件的任务的所有可能方式来解决该问题。然后考虑由于每个任务的执行而导致的能耗消耗,以计算成本函数,从而使我们能够评估每个部署解决方案的可行性。仿真结果表明,相对于面向汇宿或面向集群的部署方法,我们的框架可节省大量能源,尤其是对于节点密度高,能耗和初始能量不一致且行动复杂的网络而言。

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