Please use this identifier to cite or link to this item:
Title: The Impact of Critical Node Elimination on The Latency of Wireless Sensor Networks
Authors: Kahjogh, Behnam Ojaghi
Demirkol, İlker
Careglio, Davide
Pascual, Jordi Domingo
Keywords: wireless sensor networks
critical nodes
linear programming
network latency
sensor node attack
Issue Date: 2017
Publisher: IEEE
Source: 9th International Conference on Ubiquitous and Future Networks (ICUFN) -- JUL 04-07, 2017 -- Milan, ITALY
Series/Report no.: International Conference on Ubiquitous and Future Networks
Abstract: Wireless Sensor Networks (WSNs) have ample applications in a wide range of domains such as health care monitoring, environmental, critical infrastructure, and military applications. These extensive usages of WSNs make them an attractive target for all adversary attacks and natural risks. Although there exist solutions against these threatening attacks, they are not sufficient especially when confronting with extreme environments such as landslides and earthquakes. Detection of sensor nodes that have a major impact on network performance would be of high priority, especially where the speed of data transmission is important. In this paper, we deal with this problem and focus on the identification of those nodes (referred as critical nodes) that, once eliminated or incapacitated, have the most impact on the overall latency of the network. In this context, we propose a novel Mixed Integer Programming (MIP) framework to quantify this impact and explore the parameter space through numerical evaluations of the MIP model. According to our results, critical node elimination attacks can increase the network latency significantly.
ISBN: 978-1-5090-4749-9
ISSN: 2165-8528
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

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.