Data for Source location privacy aware routing protocols selection results

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Abstract

Source location privacy (SLP) is becoming an important property for a large class of security-critical wireless sensor network applications such as monitoring and tracking. Many routing protocols have been proposed that provide SLP, all of which provide a trade-off between SLP and energy. Experiments have been conducted to gauge the performance of the proposed protocols under different network parameters such as noise levels. As that there exists a plethora of protocols which contain a set of possibly conflicting performance attributes, it is difficult to select the SLP protocol that will provide the best trade-offs across them for a given application with specific requirements. In this paper, we propose a methodology where SLP protocols are first profiled to capture their performance under various protocol configurations. Then, we present a novel decision theoretic procedure for selecting the most appropriate SLP routing algorithm for the application and network under investigation. We show the viability of our approach through different case studies.

Item Type: Dataset
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Type of Data: Modelling data
Library of Congress Subject Headings (LCSH): Wireless sensor networks -- Security measures, Location-based services -- Security measures, Computer networks -- Security measures
Publisher: University of Warwick, Department of Computer Science
Official Date: 10 November 2017
Dates:
Date
Event
10 November 2017
Published
Status: Not Peer Reviewed
Publication Status: Published
Media of Output (format): .tar.gz
Access rights to Published version: Open Access (Creative Commons open licence)
Copyright Holders: University of Warwick
Description:

Data record consists of a data archive in .tar.gz format.
This is the dataset used to generate the results for the journal paper " A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks" at Future Generation Computer Systems (FGCS) 2018.
To replicate the results of the paper:
All algorithms are implemented in the folder: algorithm/adaptive_spr_notify algorithm/phantom algorithm/phantom_walkabouts algorithm/ilprouting algorithm/protectionless algorithm/protectionless_ctp
Set up the repository and its dependencies as specified by README.md
Place all the six subfolders from the data archive into results/ in the repository. To generate graphs, run "./create.py phantom_walkabouts graph-dominating-min-max".
Related URLs:
Contributors:
Contribution
Name
Contributor ID
Contact Person
Bradbury, Matthew S.
66387
URI: https://wrap.warwick.ac.uk/135275/

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