返回
Efficient Incremental Code Update for Sensor Networks
DOI:10.1145/1921621.1921624.png)
摘要
En 中文
Wireless reprogramming of sensor nodes is an essential requirement for long-lived networks since software functionality needs to be changed over time. During reprogramming, the number of radio transmissions should be minimized, since reprogramming time and energy depend chiefly on the number of radio transmissions. In this article, we present a multihop incremental reprogramming protocol called Zephyr that transfers the delta between old and new software versions, and lets the sensor nodes rebuild the new software using the received delta and the old software. Zephyr reduces the delta size by using application-level modifications to mitigate the effects of function shifts. Then it compares the two binary images at the byte level to generate a small delta, that is then sent over the wireless network to all the nodes. For the wide range of software change cases that we used as benchmarks, Zephyr transfers 1.83 to 1987 times less traffic through the network than Deluge (the standard nonincremental reprogramming protocol for TinyOS) and 1.14 to 49 times less traffic than an existing incremental reprogramming protocol by Jeong and Culler [2004].
Keyword:
Design
Performance
Network reprogramming
Rsync
Deluge
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.7
论文数:
1.0K
被引数:
2.0K
机构
引用论文
Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes具有约束的系统的笛卡尔运动方程的数值积分: 正构烷烃的分子动力学

