E3NP: An Energy-Efficient, Expeditious Network Reprogramming Mechanism in Wireless Sensor Network

Wensheng Tang, Wangqiu Kuang, Bibo Wang, Jian Yang
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引用次数: 3

Abstract

Reprogramming is a crucial and challenging problem in wireless sensor network. The need to reprogram may be traceable to changing system requirements, fixing bugs, or reassigning task. Whereas, it is impractical to collect all the sensor nodes once they are deployed. Many network reprogramming approaches have been proposed in the recent years. Unluckily, these approaches have not been optimized for energy. In this paper, we present E3NP, energy-efficient expeditious network reprogramming mechanism. There are two main contributions add to E3NP such as (1) resident and incremental reprogramming to reduce the size of binary code to be disseminated;(2) hierarchical full indexing with sliding window to reduce external storage operation cost in recording packets loss and loss packets recovered by overhearing in multi-hops delivery. Accordingly, our mechanism is energy-efficient and timesaving.
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无线传感器网络中一种高效、快速的网络重编程机制
在无线传感器网络中,重编程是一个关键且具有挑战性的问题。重新编程的需要可以追溯到更改系统需求、修复错误或重新分配任务。然而,一旦它们被部署,收集所有传感器节点是不切实际的。近年来,人们提出了许多网络重编程方法。不幸的是,这些方法还没有针对能源进行优化。本文提出了一种高效、快速的E3NP网络重编程机制。E3NP的两个主要贡献是:(1)驻留和增量重编程,以减少要传播的二进制码的大小;(2)带滑动窗口的分层全索引,以减少记录丢包和在多跳传输中通过侦听恢复丢包的外部存储操作成本。因此,我们的机制既节能又省时。
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