Please use this identifier to cite or link to this item:
Title: Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode
Authors: İncebacak, Davut
Zilan, Ruken
Tavlı, Bülent
Barcelo-Ordinas, Jose M.
Garcia-Vidal, Jorge
Keywords: Wireless sensor networks
Contextual privacy
Data compression
Network lifetime
Issue Date: Jan-2015
Publisher: Elsevier Science Bv
Source: Incebacak, D., Zilan, R., Tavli, B., Barcelo-Ordinas, J. M., & Garcia-Vidal, J. (2015). Optimal data compression for lifetime maximization in wireless sensor networks operating in stealth mode. Ad Hoc Networks, 24, 134-147.
Abstract: Contextual privacy in Wireless Sensor Networks (WSNs) is concerned with protecting contextual information such as whether, when, and where the data is collected. In this context, hiding the existence of a WSN from adversaries is a desirable feature. One way to mitigate the sensor nodes' detectability is by limiting the transmission power of the nodes (Le., the network is operating in the stealth mode) so that adversaries cannot detect the existence of the WSN unless they are within the sensing range of the WSN. Position dependent transmission power adjustment enables the network to maintain its level of stealth while allowing nodes farther from the network boundary to use higher transmission power levels. To mitigate the uneven energy dissipation characteristic, nodes that cannot dissipate their energies on communications reduce the amount of data they generate through computation so that the relay nodes convey less data. Dynamic data compression/decompression strategies reduce the amount of data to be communicated, thus, they achieve better energy savings when compared to static compression/decompression of data in which the data is always compressed independently of the power transmission strategy. In this study, we investigate various data compression strategies to maximize the lifetime of WSNs employing contextual privacy measures through a novel mathematical programming framework. (C) 2014 Elsevier B.V. All rights reserved.
ISSN: 1570-8705
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 23, 2022


checked on Sep 24, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.