• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Energy Dependent Divisible Load Theory for Wireless Sensor Network Workload Allocation
【24h】

Energy Dependent Divisible Load Theory for Wireless Sensor Network Workload Allocation

机译：无线传感器网络工作负荷分配的能量相关可分负荷理论

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The wireless sensor network (WSN), consisting of a large number of microsensors with wireless communication abilities, has become an indispensable tool for use in monitoring and surveillance applications. Despite its advantages in deployment flexibility and fault tolerance, the WSN is vulnerable to failures due to the depletion of limited onboard battery energy. A major portion of energy consumption is caused by the transmission of sensed results to the master processor. The amount of energy used, in fact, is related to both the duration of sensing and data transmission. Hence, in order to extend the operation lifespan of the WSN, a proper allocation of sensing workload among the sensors is necessary. An assignment scheme is here formulated on the basis of the divisible load theory, namely, the energy dependent divisible load theory (EDDLT) for sensing workload allocations. In particular, the amount of residual energies onboard sensors are considered while deciding the workload assigned to each sensor. Sensors with smaller amount of residual energy are assigned lighter workloads, thus, allowing for a reduced energy consumption and the sensor lifespan is extended. Simulation studies are conducted and results have illustrated the effectiveness of the proposed workload allocation method.
机译：由大量具有无线通信能力的微型传感器组成的无线传感器网络（WSN）已成为监视和监视应用程序中必不可少的工具。尽管WSN在部署灵活性和容错能力方面具有优势，但由于耗尽了机载电池能量不足，WSN仍然容易出现故障。能耗的主要部分是由于将检测到的结果传输到主处理器而引起的。实际上，所消耗的能量与传感时间和数据传输时间有关。因此，为了延长WSN的操作寿命，需要在传感器之间适当地分配感测工作量。这里基于可分负载理论，即用于感测工作负荷分配的能量相关可分负载理论（EDDLT），制定分配方案。特别是，在确定分配给每个传感器的工作量时，会考虑传感器上的剩余能量。为剩余能量较小的传感器分配了较轻的工作量，从而减少了能耗，并延长了传感器的使用寿命。进行了仿真研究，结果表明了所提出的工作量分配方法的有效性。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2012年第12期|235289.1-235289.16|共16页
  • 作者

    Haiyan Shi; Wanliang Wang; Ngaiming Kwok;

  • 作者单位

    College of Computer Science, Zhejiang University of Technology, Hangzhou 310023, China,School of Computer Science and Technology, Shaoxing University, Shaoxing 312000, China;

    College of Computer Science, Zhejiang University of Technology, Hangzhou 310023, China;

    School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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