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

被引：0

作者：

Shastri, Anish ^{[1
]}

Jain, Vivek ^{[1
]}

Singh, Rhishi Pratap ^{[1
]}

Chaudhari, Sachin ^{[1
]}

Chouhan, Shailesh Singh ^{[2
]}

机构：

[1] Int Inst Informat Technol, Signal Proc & Commun Res Ctr, Hyderabad, India

[2] Lulea Univ Technol, Embedded Internet Syst Lab, Lulea, Sweden

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATIONS SYSTEMS (ANTS) | 2018年

关键词：

LMS; IoT; sensor node lifetime; data-transmission reduction; IEEE; 802.15.4;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：6

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