Int. J. of Information Technology, Communications and Convergence   »   2015 Vol.3, No.2

 

 

Title: Application of connected dominating sets in wildfire detection based on wireless sensor networks

 

Authors: Saman Tahouri; Reza Ebrahimi Atani; Amir Hassani Karbasi; Yashar Deldjoo

 

Addresses:
Department of Information Technology, University Campus 2, University of Guilan, Rasht, Iran
Department of Computer Engineering, Faculty of Engineering, University of Guilan, P.O. Box 3756, Rasht, Iran
Department of Information Technology, University Campus 2, University of Guilan, Rasht, Iran
Department of Computer Engineering, Faculty of Engineering, University of Guilan, P.O. Box 3756, Rasht, Iran

 

Abstract: Wireless sensor networks enable us to collect data such as temperature and humidity which are measured from different points of environment continuously and transmitted to the firefighter centre rapidly. On the other hand, sensor networks are facing serious barriers such as limited energy resources and high vulnerability in extreme environmental conditions which should be seriously taken into account. Factors such as limited energy resources and low processing capabilities cause data transmission to be one of the most important concerns in these networks. Using wireless sensor networks is a method proposed in recent years which enables us to detect and prevent wildfires in the least possible time. In this paper, a new scheme for data transmission is introduced which is used for routing based on virtual clustering. The concept of dominating set is used for clustering and choosing dominating nodes for routing. The aim of this work is to decrease energy consumption, increase network lifetime and the amount of received data. Comparing results of this simulation with other methods shows that the proposed method in this paper is very efficient and fulfils all mentioned goals.

 

Keywords: wireless sensor networks; WSNs; dominating sets; wildfire detection; routing; simulation; temperature; humidity; wildfires; virtual clustering; energy consumption; network lifetime; data reduction.

 

DOI: 10.1504/IJITCC.2015.071021

 

Int. J. of Information Technology, Communications and Convergence, 2015 Vol.3, No.2, pp.139 - 160

 

Submission date: 17 Dec 2014
Date of acceptance: 17 May 2015
Available online: 03 Aug 2015

 

 

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