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Investigate Efficiency & Reliability of Various Reprogramming Architec- tures for Wireless Sensor Network: A Survey

机译:调查无线传感器网络的各种重新编程架构的效率和可靠性:一项调查

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This paper presents a survey on the current state-of-art in various Reprogramming Architectures for Wireless Sensor Network (WSN). Recent research in wireless sensor network has highlighted the importance of supporting the capability for remote reprogramming of sensor nodes via wireless network. Wireless sensor networks are expected to be deployed for long periods of time, and the nodes are likely to need software update during their lifetime, both for bug fixes and in order to support new requirements. Network reprogramming allows for over-the-air software updates in sensor networks. Dynamic reprogramming of sensor applications and sensor operating systems are emerging as a critical function required in wireless sensor networks. This ability to remotely patch or upgrade software in deployed sensor nodes via the wireless network is complicated by the increasing trend towards heterogeneity in WSN hardware platforms, sensor operating systems and role-based differentiation, e.g. between aggregators and leaf sensor nodes. Most of the current network reprogramming protocols focus on propagating the same code image to a network of homogeneous sensor nodes. Naive approaches to adapt such protocols for heterogeneity are largely inefficient. Ease of programming has long been recognized as a major hurdle to the adoption of WSN technology. In response to this need, several platform dependent programming solutions have been hitherto developed. A well-established characterization of the available approaches is, however, largely missing. As a result, researchers are unable to orient themselves in this diverse field, and developers struggle in identifying the solutions most appropriate to their application requirements. The purpose of this survey is to describe features of different reprogramming architectures in wireless sensor networks & highlight major concerns pertaining to investigation of efficiency and performance of these architectures for Wireless Sensor Network. The modern techniques in various reprogramming architectures for WSNs have been examined in terms of Reprogramming Architecture, Code dissemination/Code acquisition, Encoding/Decoding, Single-hop/Multihop reprogramming, MAC protocol, Hierarchy, Pipelining, Scope Selection Support and Idle listening to adaptive sleeping etc. These features are surveyed for various Code dissemination protocols both Entire Program Image based & Difference-based Methods for reprogramming WSN.
机译:本文对无线传感器网络(WSN)的各种重编程体系结构中的最新技术进行了概述。无线传感器网络的最新研究强调了支持通过无线网络对传感器节点进行远程重新编程的能力的重要性。预计无线传感器网络将长期部署,并且节点可能需要在其生命周期内进行软件更新,以便修复错误并支持新要求。网络重新编程允许在传感器网络中进行无线软件更新。传感器应用程序和传感器操作系统的动态重新编程正在成为无线传感器网络所需的关键功能。 WSN硬件平台,传感器操作系统和基于角色的差异化(例如基于WSN)的异构性日益增长的趋势使通过无线网络远程修补或升级已部署的传感器节点中的软件的能力变得复杂。在聚合器和叶子传感器节点之间。当前的大多数网络重编程协议都致力于将相同的代码映像传播到同类传感器节点的网络中。将此类协议用于异质性的幼稚方法在很大程度上是无效的。长期以来,易于编程一直是采用WSN技术的主要障碍。响应于此需求,迄今为止已经开发了几种依赖于平台的编程解决方案。但是,在很大程度上缺乏对可用方法的公认描述。结果,研究人员无法适应这个多元化的领域,开发人员在寻找最适合其应用程序要求的解决方案方面遇到了困难。这项调查的目的是描述无线传感器网络中不同重编程体系结构的功能,并重点关注与研究这些传感器无线体系结构的效率和性能有关的主要问题。在重编程体系结构,代码分发/代码获取,编码/解码,单跳/多跳重编程,MAC协议,层次结构,流水线,范围选择支持和空闲侦听自适应方面,对WSN的各种重编程体系结构中的现代技术进行了研究。这些功能已针对各种代码分发协议进行了调查,包括用于重新编程WSN的基于整个程序映像的方法和基于差异的方法。

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