Optimizing energy consumption in wireless sensor networks using python libraries

Title

Optimizing energy consumption in wireless sensor networks using python libraries

Creator

Jose J.; Arulkumar N.

Description

Wireless sensor networks (WSNs) are widely utilized in various fields, including environmental monitoring, healthcare, and industrial automation. Optimizing energy consumption is one of the most challenging aspects of WSNs due to the limited capacity of the batteries that power the sensors. This chapter explores using Python libraries to optimize the energy consumption of WSNs. In WSNs, various nodes, including sensor, relay, and sink nodes, are introduced. How Python libraries such as NumPy, Pandas, Scikit-Learn, and Matplotlib can be used to optimize energy consumption is discussed. Techniques for optimizing energy consumption, such as data aggregation, duty cycling, and power management, are also presented. By employing these techniques and Python libraries, the energy consumption of WSNs can be drastically decreased, thereby extending battery life and boosting performance. 2023, IGI Global. All rights reserved.

Source

Advanced Applications of Python Data Structures and Algorithms, pp. 222-235.

Date

2023-01-01

Publisher

IGI Global

Coverage

Jose J., CHRIST University (Deemed), India; Arulkumar N., CHRIST University (Deemed), India

Rights

Restricted Access

Relation

ISBN: 978-166847102-9; 978-166847100-5

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/978-1-6684-7100-5.ch011

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167771217&doi=10.4018%2f978-1-6684-7100-5.ch011&partnerID=40&md5=8d3d546b6a35dc15781d0acd88bf7c27