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A decision theoretic framework for selecting source location privacy aware routing protocols in wireless sensor networks
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Gu, Chen, Bradbury, Matthew S., Kirton, Jack and Jhumka, Arshad (2018) A decision theoretic framework for selecting source location privacy aware routing protocols in wireless sensor networks. Future Generation Computer Systems, 87 . pp. 514-526. doi:10.1016/j.future.2018.01.046 ISSN 0167-739X.
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Official URL: http://dx.doi.org/10.1016/j.future.2018.01.046
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: | Journal Article | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Wireless sensor networks -- Security measures, Location-based services -- Security measures, Computer networks -- Security measures | ||||||||
| Journal or Publication Title: | Future Generation Computer Systems | ||||||||
| Publisher: | Elsevier Science BV | ||||||||
| ISSN: | 0167-739X | ||||||||
| Official Date: | October 2018 | ||||||||
| Dates: |
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| Volume: | 87 | ||||||||
| Page Range: | pp. 514-526 | ||||||||
| DOI: | 10.1016/j.future.2018.01.046 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 3 July 2018 | ||||||||
| Date of first compliant Open Access: | 12 February 2019 |
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