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Fault Diagnosis in Wireless Sensor Network using Timed Automata

by Santi Kumari Behera, Prabira Kumar Sethy, Dr. Pabitra Mohan Khilar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 7
Year of Publication: 2011
Authors: Santi Kumari Behera, Prabira Kumar Sethy, Dr. Pabitra Mohan Khilar
10.5120/3578-4948

Santi Kumari Behera, Prabira Kumar Sethy, Dr. Pabitra Mohan Khilar . Fault Diagnosis in Wireless Sensor Network using Timed Automata. International Journal of Computer Applications. 29, 7 ( September 2011), 15-20. DOI=10.5120/3578-4948

@article{ 10.5120/3578-4948,
author = { Santi Kumari Behera, Prabira Kumar Sethy, Dr. Pabitra Mohan Khilar },
title = { Fault Diagnosis in Wireless Sensor Network using Timed Automata },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 7 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number7/3578-4948/ },
doi = { 10.5120/3578-4948 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:09.308655+05:30
%A Santi Kumari Behera
%A Prabira Kumar Sethy
%A Dr. Pabitra Mohan Khilar
%T Fault Diagnosis in Wireless Sensor Network using Timed Automata
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 7
%P 15-20
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An important problem in distributed systems that are subject to component failures is the distributed diagnosis problem. In distributed diagnosis, each working node must maintain correct information about the status (working or failed) of each component in the system. In this paper we consider the problem of identifying faulty (crashed) nodes in a wireless sensor network and used timed automata for representation. A fault diagnosis protocol specifically designed for wireless sensor networks is introduced and analyzed using finite automata theory. The protocol is proved to be optimal and energy efficient under certain assumptions. In this paper, we propose a diagnosis algorithm on the basis of diagnosability definitions and theoretical studies developed for timed and hybrid automata. The proposed algorithm has been simulated by using MATLAB and the diagnosis parameters such as diagnosis latency and message complexity.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed system wireless sensor network fault Timed automat Security Algorithms sensor automata process monitoring health monitoring dynamic diagnosis network model unicast multicast δ-diagnosabolity fault-dignosis timed automata

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