Trends and Challenges of Wireless Sensor Networks

G. Brasche
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引用次数: 3

Abstract

Summary form only given: The interest for sensor networks has been rapidly growing in the last years and the number of applications using sensor networks is increasing rapidly. However, the adoption of wireless sensor network technology has been hindered by the difficulty to program them in a simple and efficient way. In this key note we will talk about trends of development of sensor networks and a forward looking way to tackle some of the related challenges for broad deployment. In particular, we will present some of the work done at the European Microsoft Innovation Center (EMIC) to develop an integrated programming model based on the .Net technology. The programming model enables the development of a sensor network application as a set of connected services (filters and aggregators) forming a data flow. The set of defined services is dynamically deployed on the sensor networks where the runtime associated to the programming model and running on the nodes of the sensor networks, applies some optimization strategies in order to limit the amount of communications required to execute the application. This programming model is based on the coordination decentralized software services (DSS) and the concurrency and coordination runtime (CCR) developed by the Microsoft Robotics Studio team and further apply to the wireless sensor domain. It has been validated by the development of several applications in the context of collaborative projects in which EMIC is involved.
无线传感器网络的发展趋势与挑战
仅提供摘要形式:对传感器网络的兴趣在过去几年中迅速增长,使用传感器网络的应用数量正在迅速增加。然而,无线传感器网络技术的采用一直受到难以以一种简单有效的方式对其进行编程的阻碍。在这篇重点文章中,我们将讨论传感器网络的发展趋势,以及解决广泛部署的一些相关挑战的前瞻性方法。特别地,我们将介绍欧洲微软创新中心(EMIC)为开发基于。net技术的集成编程模型所做的一些工作。编程模型支持将传感器网络应用程序开发为一组形成数据流的连接服务(过滤器和聚合器)。已定义的服务集动态地部署在传感器网络上,其中与编程模型相关联并在传感器网络的节点上运行的运行时应用一些优化策略,以限制执行应用程序所需的通信量。该编程模型基于Microsoft Robotics Studio团队开发的协调分散软件服务(DSS)和并发和协调运行时(CCR),并进一步应用于无线传感器领域。它已经通过在EMIC参与的协作项目背景下的几个应用程序的开发得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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