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Signal strength as support to mobility detection on failure detectors

Published: 03 April 2017 Publication History

Abstract

A Failure Detector (FD) is an essential building block to develop reliable applications on Mobile Ad-hoc NETworks (MANETs). To detect faulty nodes correctly the node mobility and disconnections are challenges that must be circumvented by an FD. This paper presents an FD algorithm that detects faulty nodes efficiently in MANETs. This approach explores the signal power intensity on the receiving messages to detect node mobility and improve the failure detector knowledge. The experimental results have shown improvements in the Quality of Service (QoS) when compared with other similar FDs.

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  • (2019)HiCo-MoG: Hierarchical consensus-based group membership service in mobile Ad Hoc networksJournal of High Speed Networks10.3233/JHS-19060925:2(155-172)Online publication date: 21-Jun-2019

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cover image ACM Conferences
SAC '17: Proceedings of the Symposium on Applied Computing
April 2017
2004 pages
ISBN:9781450344869
DOI:10.1145/3019612
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 April 2017

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Author Tags

  1. MANETs
  2. failure detector
  3. mobile nodes

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SAC 2017
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SAC 2017: Symposium on Applied Computing
April 3 - 7, 2017
Marrakech, Morocco

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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  • (2019)HiCo-MoG: Hierarchical consensus-based group membership service in mobile Ad Hoc networksJournal of High Speed Networks10.3233/JHS-19060925:2(155-172)Online publication date: 21-Jun-2019

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