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A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks

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A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks. / Gu, Chen; Bradbury, Matthew; Kirton, Jack et al.
In: Future Generation Computer Systems, Vol. 87, 01.10.2018, p. 514-526.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Gu C, Bradbury M, Kirton J, Jhumka A. A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks. Future Generation Computer Systems. 2018 Oct 1;87:514-526. Epub 2018 Feb 12. doi: 10.1016/j.future.2018.01.046

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Gu, Chen ; Bradbury, Matthew ; Kirton, Jack et al. / A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks. In: Future Generation Computer Systems. 2018 ; Vol. 87. pp. 514-526.

Bibtex

@article{16b3a40cb95d48369b410f20673c0b11,
title = "A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks",
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.",
keywords = "Source location privacy, Wireless sensor networks, Decision theory, Technique comparison",
author = "Chen Gu and Matthew Bradbury and Jack Kirton and Arshad Jhumka",
year = "2018",
month = oct,
day = "1",
doi = "10.1016/j.future.2018.01.046",
language = "English",
volume = "87",
pages = "514--526",
journal = "Future Generation Computer Systems",
issn = "0167-739X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A Decision Theoretic Framework for Selecting Source Location Privacy Aware Routing Protocols in Wireless Sensor Networks

AU - Gu, Chen

AU - Bradbury, Matthew

AU - Kirton, Jack

AU - Jhumka, Arshad

PY - 2018/10/1

Y1 - 2018/10/1

N2 - 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.

AB - 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.

KW - Source location privacy

KW - Wireless sensor networks

KW - Decision theory

KW - Technique comparison

U2 - 10.1016/j.future.2018.01.046

DO - 10.1016/j.future.2018.01.046

M3 - Journal article

VL - 87

SP - 514

EP - 526

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

SN - 0167-739X

ER -