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Optimization techniques to improve lifetime of wireless sensor networks: A review

机译：改善无线传感器网络寿命的优化技术：综述

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摘要

Currently wireless sensor networks (WSN) are finding wide range of applications when integrated with Internet of things (IoT). WSNs contain sensor nodes which are tiny, battery operated devices. Therefore resource management in wireless sensor network is one of the significant research issues in improving the lifetime of the sensor network. Several optimization techniques have been proposed in this direction to improve life-time of WSN. In this paper, we are proposing a novel approach to address the resource management problem with respect to energy parameter which can considerably increase the network lifespan. Whenever a network is deployed for a specific application, the performance parameters that are considered for evaluation are data-redundancy, sleep-awake cycle, buffering mechanism, architectural-design, etc. This paper discusses the application of bio-inspired, Jumper Firefly Algorithm which optimizes network lifetime through centralized clustering and dynamic routing algorithm.
机译：当前，与物联网（IoT）集成时，无线传感器网络（WSN）正在发现广泛的应用。 WSN包含传感器节点，它们是由电池供电的微型设备。因此，无线传感器网络中的资源管理是提高传感器网络寿命的重要研究课题之一。在这个方向上已经提出了几种优化技术来改善WSN的寿命。在本文中，我们提出了一种新颖的方法来解决与能源参数有关的资源管理问题，该方法可以显着提高网络寿命。每当针对特定应用部署网络时，考虑进行评估的性能参数是数据冗余，睡眠唤醒周期，缓冲机制，体系结构设计等。本文讨论了以生物为灵感的Jumper Firefly算法的应用通过集中式群集和动态路由算法来优化网络寿命。

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