• Jul 12, 2018 News!The submission for 2019 8th International Conference on Information and Electronics Engineering (ICIEE 2019) is officially open now !   [Click]
  • Aug 31, 2018 News!IJIEE Vol. 8, No. 3 issue has been published online!   [Click]
  • Aug 06, 2018 News!Vol.7, No.1-No.4 has been indexed by EI (Inspec).   [Click]
General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2012 Vol.2(5): 710-715 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.193

Reliability Modeling of Context Aware Wireless Sensor Network

Latha Venkatesan, Chandrasekaran Subramaniam, and Shanmugavel S.

Abstract—The objective of the paper is to propose a reliability model for a fault tolerant wireless sensor network using context awareness feature in order to evaluate network reliability by modeling in PI Calculus. The earlier Propositional Directed Acyclic Graph (PDAG) approach leads to an identification of a suitable structure function in polynomial time to evaluate the reliability of wireless Sensor Network (WSN). In that approach, the nodes and links of the network are assumed as context free, makes the determination of the reliability function complex if the number of nodes is increased. The context awareness of the nodes and links are used to decompose and reduce the structure function for that network of any topology. The proposed context aware structure function algorithm helps not only to determine the structure function but also decide the most reliable path from source to terminal without affecting the network performance and accurately determines the reliability in the case of node and link failures.

Index Terms—Acyclic graph, context awareness, fault tolerance, network reliability, stochastic PI calculus

Latha Venkatesan is with the Electronics and Communication Engineering Department, Velammal Engineering College, Chennai, 600066India (e-mail: lathavenkatesanpnag@gmail.com).
Chandrasekaran Subramanium was with the Computer Science and Engineering Department, Rajalakshmi Engineering College, Chennai, India. He is now with the Computer Science and Engineering Department, Kumaraguru College of Technology, Coimbatore, India (e-mail: chandrasekaran_s@msn.com).
Shanmugavel S. is with the Anna University, Chennai, India (e-mail: ssvel@annauniv.edu.in).


Cite: Latha Venkatesan, Chandrasekaran Subramaniam, and Shanmugavel S., "Reliability Modeling of Context Aware Wireless Sensor Network," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 710-715, 2012.

Copyright © 2008-2018. International Journal of Information and Electronics Engineering. All rights reserved.
E-mail: ijiee@ejournal.net