Location-detection strategies in pervasive computing environments

Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003). Pub Date : 2003-03-23 DOI:10.1109/PERCOM.2003.1192750

S. Fischmeister, G. Menkhaus, Alexander Stumpfl

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引用次数: 8

Abstract

Pervasive computing environments accommodate interconnected and communicating mobile devices. Mobility is a vital aspect of everyday life and technology must offer support for moving users, objects, and devices. Their growing number has strong implications on the bandwidth of wireless and wired networks. Network bandwidth becomes a scare resource and its efficient use is crucial for the quality of service in pervasive computing. In this article we study process models for detecting location changes of moving objects and their effect on the network bandwidth. We simulate a scenario of 10/sup 4/ moving objects for a period of 10/sup 7/ time cycles while monitoring the quality of service with respect to network bandwidth for different location detection strategies. The simulation shows that the class of strategies implementing a synchronous model offers better quality of service than the timed model. We conclude the article with a set of guidelines for the application of the strategies we have investigated.

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普适计算环境中的位置检测策略

普适计算环境适应相互连接和通信的移动设备。移动性是日常生活的一个重要方面，技术必须为移动用户、对象和设备提供支持。它们不断增长的数量对无线和有线网络的带宽有着强烈的影响。网络带宽是一种稀缺资源，其有效利用对普适计算的服务质量至关重要。本文研究了检测运动目标位置变化的过程模型及其对网络带宽的影响。我们模拟了一个10/sup 4/移动物体10/sup 7/时间周期的场景，同时监控不同位置检测策略的网络带宽方面的服务质量。仿真结果表明，实现同步模型的策略类比实现定时模型的策略类提供更好的服务质量。在本文的最后，我们提出了一套应用我们所研究的策略的指导方针。

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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Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).

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