Adaptive Parametric Routing Based on Dynamic Metrics for Wireless Sensor Networks

Author

Ouferhat, Nesrine ; Mellouk, Abdelhamid ; Augustin, Brice

Author_Institution

Dept. of Networks & Telecoms, Univ. of Paris-Est (UPEC), Creteil, France

fYear

2010

fDate

6-10 Dec. 2010

Firstpage

1

Lastpage

5

Abstract

Designing a QoS-aware, yet energy-saving routing protocol for WSNs is a notoriously hard problem. However, the outstanding interest for this technology, and the growing number of envisioned applications, motivate the need to introduce the notion of Quality of Service (QoS) in these networks. This paper introduces EDEAR (Energy and Delay Efficient Adaptive Routing), an adaptive routing algorithm based on route exploration and reinforcement learning. We evaluate EDEAR with simulations, under various network mobility conditions. Our results show that EDEAR outperforms any other routing protocol, delivering packets with the shortest delay, while reducing energy consumption. As a result, EDEAR´s features allow to increase the network lifetime by 9-18%.

Keywords

energy consumption; learning (artificial intelligence); quality of service; routing protocols; telecommunication computing; wireless sensor networks; adaptive parametric routing; delay efficient adaptive routing; dynamic metrics; energy consumption; energy efficient adaptive routing; energy-saving routing protocol; network mobility condition; quality of service; reinforcement learning; route exploration; wireless sensor network; Delay; Energy consumption; Peer to peer computing; Quality of service; Routing; Routing protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE

Conference_Location

Miami, FL

ISSN

1930-529X

Print_ISBN

978-1-4244-5636-9

Electronic_ISBN

1930-529X

Type

conf

DOI

10.1109/GLOCOM.2010.5683608

Filename

5683608