Sensor Selection Scheme in Temperature Wireless Sensor Network

TL;DR

This paper introduces an energy-efficient sensor selection scheme for temperature wireless sensor networks, utilizing data mining techniques to optimize routing and extend sensor lifetime while maintaining monitoring accuracy.

Contribution

It presents a novel adaptive routing scheme based on data mining for energy efficiency in temperature sensor networks, validated with real-world data.

Findings

Achieves energy efficiency with a trade-off between accuracy and sensor lifetime.

Validates approach using publicly available dataset.

Demonstrates extended sensor lifetime without significant loss of accuracy.

Abstract

In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The proposed adapting routing scheme for sensors for achieving energy efficiency from temperature wireless sensor network data set. The experimental validation of the proposed approach using publicly available Intel Berkeley lab Wireless Sensor Network dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and life time extension factor of sensors, using the proposed approach.