Elsevier

Procedia Computer Science

Volume 32, 2014, Pages 1154-1159
Procedia Computer Science

Energy Saving in WSN Using Monitoring Values Prediction

https://doi.org/10.1016/j.procs.2014.05.547Get rights and content
Under a Creative Commons license
open access

Abstract

The Wireless Sensor Networks (WSNs) deployment introduces many issues and challenges mainly in terms of energy independence. In this context, we adopted the IBM control loop which is composed of four steps (Monitor, Analyze, Plan and Execute) to manage Quality of Service (QoS)1. This paper focuses on the first step which consists in sending periodically QoS values such as the value of power remaining in the battery of each sensor. We notice that the transmission process is very costly in terms of energy and reduces the battery lifetime. In this work, we propose a probabilistic approach that estimates a part of these QoS monitoring values and therefore economizes their transmission energy. Our approach is based on the hidden Markov chain and the fuzzy logic. It is composed of two steps: (i) learning which allows apprehending the WSNs behavior and (ii) prediction which estimates QoS monitoring values. A WSN application deployed in a datacenter is studied as an illustration. The carried out experiments over AZEM2 WSN simulator show that the gain varies from 25% to 75% of the battery energy.

Keywords

Wireless sensor network
probabilistic approach
hidden Markov chain
value of monitoring
prediction ;

Cited by (0)

Selection and Peer-review under responsibility of the Program Chairs.

1

An extended version of AvroraZ simulator: http://www.redcad.org/members/benhalima/azem/.

2

An extended version of AvroraZ simulator: http://www.redcad.org/members/benhalima/azem/.