首页> 外文会议>Future Network and Mobile Summit >Improving the performance of Web Services in wireless sensor networks
【24h】

Improving the performance of Web Services in wireless sensor networks

机译:在无线传感器网络中提高Web服务的性能

获取原文

摘要

Due to extensive use of large XML messages in Web Service technologies, efficient use of existing Web Service solutions in wireless sensor networks faces major challenges. Wireless sensor network notoriously suffer from limited resources. Transmitting and processing large XML messages in wireless sensor networks can not only flood the bandwidth limited wireless sensor networks but also drain the limited battery of sensor nodes. In this paper we address this problem by 1) employing binary encoding technique to mitigate the overhead imposed by the bulky text-based XML messages, and 2) Web Service addressing schema, called “Efficient Web Service Addressing” (EWSA), is introduced which, when employed, can drastically reduce size of Web Service messages. In order to evaluate impact of the proposed solution, we have applied them to WS-Discovery protocol. Performance of WS-Discovery, binary encoding and the proposed EWSA is evaluated by computer based simulation. The presented simulation results show that by employing the proposed solution, average size of the Web Services messages can be significantly reduced to almost 6 percent of its original size. The work presented in this paper demonstrates that by applying the proposed techniques, Web services technologies can be adapted and efficiently deployed in resource limited wireless sensor networks.
机译:由于Web服务技术中大量使用大型XML消息,有效地使用无线传感器网络中现有的Web服务解决方案面临重大挑战。无线传感器网络臭名昭着的资源受到有限的遭受。在无线传感器网络中传输和处理大型XML消息不仅可以泛洪带宽有限的无线传感器网络,还可以耗尽传感器节点的有限电池。在本文中,我们通过1)采用二进制编码技术来缓解由基于庞大的文本的XML消息所施加的开销,以及2)介绍了所谓的“高效Web服务寻址”(EWSA)的Web服务寻址模式。 ,当使用时,可以大大减少Web服务消息的大小。为了评估所提出的解决方案的影响,我们将它们应用于WS-Discovery协议。通过基于计算机的仿真评估WS​​-Discovery,二进制编码和所提出的EWSA的性能。呈现的仿真结果表明,通过采用所提出的解决方案,Web服务消息的平均大小可以显着降低到其原始尺寸的近6%。本文提出的工作表明,通过应用所提出的技术,可以在资源有限的无线传感器网络中调整和有效地部署Web服务技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号