基于lms的物联网网络寿命延长算法实现研究

2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2018-12-01 DOI:10.1109/ANTS.2018.8710117

Anish Shastri, Vivek Jain, R. P. Singh, S. Chaudhari, S. Chouhan

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引用次数: 3

摘要

本文主要研究定制无线传感器节点实现经典的最小均方(LMS)算法，以减少物联网(IoT)网络中从传感器节点到接收器的数据传输。这种减少反过来又增加了传感器节点的电池寿命。该系统部署在室外和室内环境中，读取环境温度，然后对感测数据进行预测，以最大限度地减少数据传输到汇聚节点的数量。使用实测数据证明了所提出概念的实用性，在室内和室外环境下，电池寿命分别增加了2.64倍和2.53倍。

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On the Implementation of LMS-based Algorithm for Increasing the Lifetime of IoT Networks

This paper focuses on the customized-wireless sensor node implementation of the classical least mean square (LMS) algorithm for the reduction in data-transmissions from the sensor nodes to the sink in internet of things (IoT) networks. This reduction, in turn, increases the battery life of the sensor node. The system was deployed in outdoor and indoor environments to read the ambient temperature and then perform the prediction of the sensed data in order to minimize the number of data-transmissions to the sink node. The utility of the proposed concept has been demonstrated using the measured data and the battery life is increased 2.64 and 2.53 times in indoor and outdoor environments, respectively.

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2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

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