Title: Multiple-input turbo code for secure data aggregation and source-channel coding in wireless sensor networks

Authors: Hasan Cam

Addresses: Department of Computer Science and Engineering, University of Arizona State, Tempe, AZ 85287, USA

Abstract: In wireless sensor networks, the data of neighbouring sensor nodes are often highly correlated due to that they have overlapping sensing areas. To exploit the data correlation for reducing the amount of data while transmitting data from sensor nodes to their base station, this paper introduces Multiple-Input Turbo (MIT) code to implement jointly source coding channel coding and data aggregation for wireless systems, in particular, wireless sensor networks. MIT code has multiple input sequences and employs partial interleaving to reduce the memory size and access requirements. This paper also addresses how MIT code can be used to implement security together with data aggregation and source-channel coding. The simulation results show that the Bit Error Rate (BER) performance of MIT code is slightly better than turbo codes, even if MIT code implements partial interleaving and has multiple inputs.

Keywords: wireless sensor networks; WSNs; source coding; channel coding; data aggregation; turbo code; security; correlated data; partial interleaver; wireless networks.

DOI: 10.1504/IJSNET.2007.014362

International Journal of Sensor Networks, 2007 Vol.2 No.5/6, pp.375 - 385

Published online: 03 Jul 2007 *

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