Recovery effect in low-power nodes of wireless sensor networks

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Rodrigues, LM (Author) Other; Montez, C (Author) Other; Francisco Vasques (Author) FEUP; Paulo Portugal (Author) FEUP

Conference proceedings International

Title: Communications in Computer and Information Science

Pages: 45-62

4th Workshop on Communication in Critical Embedded Systems, WoCCES 2016

3 June 2016 through 3 June 2016

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-00M-X09

DOI: 10.1007/978-3-319-61403-8_3

Abstract (EN): Energy consumption is a major concern in Wireless Sensor Networks (WSNs) since nodes are powered by batteries. Usually, batteries have low capacity and can not be replaced due to economic and/or logistical issues. In addition, batteries are complex devices as they depend on electrochemical reactions to generate energy. As a result, batteries exhibit non-linear behaviour over time, which makes difficult to estimate their lifetime. Analytical battery models are abstractions that allow estimating the battery lifetime through mathematical equations, taking into account important effects such as rate capacity and charge recovery. The recovery effect is very important since it enables charge gains in the battery after its electrochemical stabilization. Sleep scheduling approaches may take advantage of the recovery effect by adding sleep periods in the node activities in order to extend the network lifetime. This work aims to analyse the recovery effect within WSN context, particularly regarding low-power nodes. To do so, we use an analytical battery model for analysing the battery performance over time, during the node execution. © Springer International Publishing AG 2017.

Language: English

Type (Professor's evaluation): Scientific