Table · dataset · 2017
Data for Source location privacy aware routing protocols selection results
Listed in figshare
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.
Description
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.
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We show the viability of our approach through different case studies.<br><br>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".
Links
Where it is published
- DOI doi.org/10.82444/warw.33803251.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 1 source records, 16 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/33803251 | 12 d ago | JSON v1 |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |