Title :
A hybrid method to detecting failures in mobile sensor networks using localization algorithms
Author :
Martins, Leonardo G. L. ; Nunes, Raul C. ; Martins, Joao B. S. ; de Oliveira, Leonardo L.
Author_Institution :
Microelectron. Res. Group (GMicro) - Technol. Center, Fed. Univ. of Santa Maria (UFSM), Santa Maria, Brazil
Abstract :
This paper presents a new approach to detect node failures to support fault tolerant application on mobile sensor networks in an optimized way. Our approach takes advantage of localization algorithm message exchanges to implement a failure detector algorithm, optimizing sent messages, reducing energy consumption and contributing to avoid the nodes scalability problem. We analyze a network performance for the Friedman Failure Detector, Monte Carlo Localization and both working together. The experimental results from simulations show an approximately reduction of 43% in the number of messages sent and are reported in this paper.
Keywords :
Monte Carlo methods; fault tolerant computing; mobile computing; wireless sensor networks; Friedman failure detector; Monte Carlo localization; failure detector algorithm; fault tolerant application; localization algorithms; mobile sensor networks; nodes scalability problem; Detectors; Heart beat; Mobile communication; Mobile computing; Network topology; Robot sensing systems; Topology;
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
Conference_Location :
Paris
Print_ISBN :
978-1-4799-0618-5
DOI :
10.1109/NEWCAS.2013.6573666