基于远程动态可重构的WSN节点研究与实现  被引量:2

Partial Dynamic Reconfigurable WSN Node with Power and Area Efficiency

在线阅读下载全文

作  者:李沂滨[1] 贾智平[1] 谢帅[1] 刘福财[1] 

机构地区:[1]山东大学计算机科学与技术学院,济南250101

出  处:《计算机研究与发展》2014年第1期173-179,共7页Journal of Computer Research and Development

基  金:国家国际科技合作专项(2011DFR20090);海洋公益性行业科研专项(201205036-04)

摘  要:作为近年来的一个研究热点,无线传感网(wireless sensor network,WSN)是一项可能改变现有工作与生活方式的技术.一个无线传感网系统可能由几十个到上万个节点组成.每个节点在保证具有足够的信息处理和通信能力的前提下,还需要满足低功耗和低成本的要求.从高效能计算的角度看,以FPGA为代表的可重构硬件已经被证明是提高系统计算效能的重要方式.传统上,在嵌入式系统中,FPGA被认为并不适用于低功耗设计.然而,FPGA的可重构不仅包括静态可重构还包括远程的部分动态可重构(partial dynamic reconfiguration,PDR).通过对芯片的某一特定区域的时分复用,在所需芯片面积减小的情况下,芯片的功耗可以大大减少.除此之外,WSN部署后的维护和功能的更新也可以通过FPGA芯片的远程PDR来实现.描述了基于远程硬件PDR技术的WSN节点.通过对几个典型算法(IIR,GPSR,SHA-2,FFT)的PDR实现,得出节点的功耗、面积与存储消耗,并与软件实现方式进行了比较.实验结果表明,通过采用PDR技术,在计算时间减少的情况下,所需的芯片面积减少27%,运行时功耗最多可减少60%(829mW).WSN can fundamentally change the way of our life. For a WSN system, up to 10 000 s nodes are expected. Each node needs to be low cost, low power, with reasonal communication and processing capacity. Meanwhile, FPGAs are demonstrated as an approach to improve processing performance efficiently. Conventionally, in embedded system design like WSN, mainly due to the limitation of energy budget, the inclusion of reconfigurable HW is considered as unacceptable. However, FPGA can not only permit static configurability in field, but also enable partial dynamic eonfigurability (PDR) remotely. Both power and area can be saved through mapping different hardcores to one certain chip area. Futhermore, by implemeing PDR technique, each node can be maintained during its lifetime remotely. All those characteristics are demanding in WSN. As a result, it becomes the author's interest to investigate the feasibility of FPGA for WSN. In this paper, a prototype and related design flow are presented and several test cases are used to evaluate the cost of PDR. Finally, it is demonstrated 60% less power cost with 27% area saving.

关 键 词:无线传感网 FPGA 低功耗 部分动态可重构 无线传感网节点 

分 类 号:TP302[自动化与计算机技术—计算机系统结构]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象