Temperature analysis with respect to time maintenance in a WSN

Authors(2) :-A. Rameez Noorjahan Fathima, K. Sugasini

We address the problem of preventing the inference of contextual information in event-driven wireless sensor networks (WSNs). The problem is considered under a global eavesdropper who analyzes low-level RF transmission attributes, such as the number of transmitted packets, inter-packet times, and traffic directionality, to infer event location, its occurrence time, and the sink location. We devise a general traffic analysis method for inferring contextual information by correlating transmission times with eavesdropping locations. Our analysis shows that most existing countermeasures either fail to provide adequate protection, or incur high communication and delay overheads. To mitigate the impact of eavesdropping, we propose resource-efficient traffic normalization schemes. In comparison to the state-of-the-art, our methods reduce the communication overhead by more than 50%; and the end-to-end delay by more than 30%. To do so, we partition the WSN to minimum connected dominating sets that operate in a round-robin fashion. This allows us to reduce the number of traffic sources active at a given time, while providing routing paths to any node in the WSN. We further reduce packet delay by loosely coordinating packet relaying, without revealing the traffic directionality

Authors and Affiliations

A. Rameez Noorjahan Fathima
Department of Computer Science and Engineering, Anna University/IFET College of Engineering/ Villupuram, TamilNadu, India
K. Sugasini
Department of Computer Science and Engineering, Anna University/IFET College of Engineering/ Villupuram, TamilNadu, India

event driven action, packet transmission, traffic normalization.

  1. Alejandro Proan˜ o, Loukas Lazos, and Marwan Krunz : Traffic decorrelation techniques for countering a global eavesdropper in wsn. 2016. IEEE Transactions on Mobile Computing.
  2. M. Akhlaq and T. R. Sheltami. RTSP: An accurate and energy-efficient protocol for clock synchronization in wsns. IEEE Trans- actions on Instrumentation and Measurement, 62(3):578–589, 2013.
  3. B. Alomair, A. Clark, J. Cuellar, and R. Poovendran. Toward a statistical framework for source anonymity in sensor networks. IEEE Transactions on Mobile Computing, 12(2):248–260, 2013.

Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 211-214
Manuscript Number : CSEIT172272
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

A. Rameez Noorjahan Fathima, K. Sugasini, "Temperature analysis with respect to time maintenance in a WSN", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.211-214, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT172272

Article Preview

Follow Us

Contact Us