On augmented OBDD and performability for sensor networks
Access Status
Authors
Date
2010Type
Metadata
Show full item recordCitation
Source Title
ISSN
School
Collection
Abstract
The expected hop count (EHC) or performability of a wireless sensor network (WSN) with probabilistic node failures provides the expected number of operational nodes a message traverses from a set of sensors to reach its target station. This paper proposes a novel approach for computing the EHC of a practical communication model for WSN, k-of-all-sources to any-terminal (k-of-S,t). Techniques based on factoring and Boolean techniques solve the EHC when k=1 for |S| greater than/equal to 1 However, they fail to scale with large WSN and are not useful for computing the EHC with k>1. To overcome these problems, we propose an Augmented Ordered Binary Decision Diagram (OBDD-A) approach, which obtains the EHC for all cases of (k-of-S,t). We use randomly generated wireless networks and grid networks having up to 4.6x1020 (s,t)-minpaths to generate results. Results show that OBDD-A can obtain the EHC for networks that are unsolvable with existing approaches.
Related items
Showing items related by title, author, creator and subject.
-
Meneghello, J.; Lee, K.; Thompson, Nik (2014)© 2014, Australian Computer Society, Inc.The quality and diversity of available data sources has a large impact on the potential for sensor networks to support rich applications. The high cost and narrow focus of new ...
-
Han, Song; Chang, Elizabeth; Gao, L.; Dillon, Tharam S. (2005)Along with sensor networks popularly utilized in the practical applications, to design optimistic security mechanisms is becoming a big challenge within the wireless sensor networks. As a result, it is imperative to propose ...
-
Hollick, Joshua; Helmholz, Petra; Belton, David (2016)© 2016 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. Many different forms of sensor fusion have been proposed each with its own niche. We propose a method of fusing multiple different ...