DocumentCode
661919
Title
Path-reputation based technique in reactive AODV Ad Hoc sensor networks routing for flood warning application
Author
Khawsaard, Nuttida ; Saivichit, Chaiyachet
Author_Institution
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear
2013
fDate
4-6 Sept. 2013
Firstpage
261
Lastpage
265
Abstract
This paper emphasises on a modification of a well-known reactive routing protocol, namely, ad hoc on demand (AODV) for flood warning application by using the statical analysis Monte Carlo method. An extension of AODV has been incorporated with the trust evaluation system which is generally known as the reputation value. The work shows the process of development of node reputation as an immediacy indexed to the reputation for all the routes, namely, path reputation to increase the system reliability. The mathematical framework for the path reputation with Monte Carlo (PRMC) has been shown. The implementation of the PRMC were conducted on five different scenarios. The results are presented in terms of the remaining energy and the remaining lifetime. From the reported results, by using the intelligence control, our proposed method outperforms the other routing protocols. The improvement of remaining energy can be saved by up to approximately 15% for both cases. Finally, the calculation of computational complexity are shown for each algorithm.
Keywords
Monte Carlo methods; ad hoc networks; alarm systems; floods; hydrological techniques; routing protocols; wireless sensor networks; ad hoc on demand; flood warning application; intelligence control; path reputation Monte Carlo method; pathreputation based technique; reactive AODV ad hoc sensor networks routing; reactive routing protocol modification; trust evaluation system; Ad hoc networks; Computational complexity; Monte Carlo methods; Rivers; Routing protocols; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering Conference (ICSEC), 2013 International
Conference_Location
Nakorn Pathom
Print_ISBN
978-1-4673-5322-9
Type
conf
DOI
10.1109/ICSEC.2013.6694790
Filename
6694790
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