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Energy-Aware Distribution of Data Fragments in Unattended Wireless Sensor Networks
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Publication Year
2018-12-03
Journal
2018 3rd International Conference on Security of Smart Cities, Industrial Control System and Communications, SSIC 2018 - Proceedings
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2018 3rd International Conference on Security of Smart Cities, Industrial Control System and Communications, SSIC 2018 - Proceedings
Keyword
Data fragmentationData survivabilityNetwork lifetimeUnattended wireless sensor networks
Mesh Keyword
Critical issuesData fragmentationData survivabilitiesNetwork lifetimePlacement methodsSurvival probabilitiesTestbed AnalysisUnattended wireless sensor networks
All Science Classification Codes (ASJC)
Artificial IntelligenceComputer Networks and CommunicationsEnergy Engineering and Power TechnologyIndustrial and Manufacturing EngineeringSafety, Risk, Reliability and QualityControl and Optimization
Abstract
In this paper, we study and analyze data fragment placement techniques to exploit their problems and design an energy-aware fragment placement method in Unattended Wireless Sensor Networks (UWSN). In UWSN, the survivability of data is of utmost importance because sensed data cannot be immediately transmitted and must reside in the storage of sensor nodes for extended periods of time. The data, which have delay-tolerant characteristics, can be exploited by attackers that access the storage to erase or steal the data. Even though data fragmentation methods have been designed to solve this problem, these works do not consider a critical issue of where to place data fragments in the sensor network. In this work, we show that basic existing methods of data fragment placement have some problems, especially in terms of energy efficiency and data survival probability. Based on our analysis, we propose a lightweight method that allows us to efficiently select sensor nodes that are used to safely distribute and place data fragments. We show through simulation and preliminary testbed analysis that our proposed method can improve the overall performance of data fragmentation.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36317
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060487586&origin=inward
DOI
https://doi.org/10.1109/ssic.2018.8556816
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8537784
Type
Conference
Funding
This research was supported by the MIST(Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP(Institute for Information communications Technology Promotion)(2015-0-00908) Some of the experiments presented in this work were conducted in the FIT/Iot-Lab testbed [1] * Corresponding Author
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Ko, Young-Bae Image
Ko, Young-Bae고영배
Department of Software and Computer Engineering
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