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Lattice-based source-channel coding in wireless sensor networks
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2011 (English)In: IEEE International Conference on Communications (ICC), Kyoto, Japan, June 5-9, 2011, IEEE conference proceedings, 2011, 1-5 p.Conference paper (Refereed)
Abstract [en]

We consider the problem of gathering measurements in a wireless sensor network consisting of a large number of sensor nodes. A practical joint source–channel coding scheme is proposed and evaluated. The scheme uses lattices to extend apreviously proposed scheme to higher dimensions. The key ideais to use conventional point-to-point communication for a subset of the sensor nodes and side-information aware transmission for the remaining sensor nodes. The selection of sensors is based on their instantaneous channel quality. It is shown that by expanding from one to eight dimensions, a gain of about 1 dB is achievable. The overall transmission delay of the scheme is still very low and it is therefore suitable to use in delay-sensitive applications.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 1-5 p.
, IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
Decoding, Lattices, Peer to peer computing, Signal to noise ratio, Source coding, Wireless sensor networks
National Category
URN: urn:nbn:se:kth:diva-33401DOI: 10.1109/icc.2011.5962670ISI: 000296057101091ScopusID: 2-s2.0-80052175014ISBN: 978-1-61284-232-5OAI: diva2:415065
IEEE International Conference on Communications (ICC) JUN 05-09, 2011 Kyoto, JAPAN
Swedish Research Council, 621-2010-4428ICT - The Next Generation
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120111Available from: 2012-01-11 Created: 2011-05-05 Last updated: 2012-06-13Bibliographically approved
In thesis
1. Low-delay sensing and transmission
Open this publication in new window or tab >>Low-delay sensing and transmission
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis studies cooperative sensing and transmission in the context ofwireless sensor networks (WSNs). We especially focus on two means of cooperative sensing and transmission, namely, distributed source coding and relaying. We consider systems where the usefulness of the measured data is dependent on how old the data is and we therefore need low-delay transmission schemes. At first sight, the low-delay criterion may seem to be of little relevance, but it is this aspect in particular that distinguishes this thesis from many of the existing communication theoretic results, which often are asymptotic in the block lengths. The thesis is composed of an introductory part, discussing the fundamentals of communication theory and how these are related to the requirements of WSNs, followed by a part where the results of the thesis are reported in Papers A-H.

Papers A-D study different scenarios for distributed source-channel coding. In Paper A, we consider transmission of correlated continuous sources and propose an iterative algorithm for designing simple and energy-efficient sensor nodes. In particular the cases of the binary symmetric channel as well as the additive white Gaussian noise channel are studied. In Paper B, the work is extended to channels with interference and it is shown that also in this case there can be significant power savings by performing a joint optimization of the system.Papers C and D use a more structured approach and propose side-information-aware source-channel coding strategies using lattices and sinusoids.

In Paper E, we apply the methods we have used in joint source-channel coding to the famous Witsenhausen counterexample. By using a relatively simple iterative algorithm, we are able to demonstrate the best numerical performance known to date.

For the case of systems with relays, we study the transmission of a continuous Gaussian source and the transmission of an uniformly distributed discrete source. In both situations, we propose algorithms to design low-delay source-channel and relay mappings. By studying the structure of the optimized source-channel and relay mappings, we provide useful insights into how the optimized systems work. These results are reported in Papers F and G.

In Paper H, we finally consider sum-MSE minimization for the Gaussian multiple-input, multiple-output broadcast channel. By using recently discovered properties of this problem, we derive a closed-form expression for the optimal power allocation in the two-user scenario and propose a conceptually simple and efficient algorithm that handles an arbitrary number of users.

Throughout the thesis we show that there are significant gains if the parts of the system are jointly optimized for the source and channel statistics. All methods that are considered in this thesis yield very low coding and decoding delays. In general, nonlinear mappings outperform linear mappings for problems where there is side-information available. Another contribution of this thesis is visualization of numerically optimized systems that can be used as inspiration when structured low-delay systems are designed.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. xii, 30 p.
Trita-EE, ISSN 1653-5146 ; 2011:039
Cooperative communication, wireless sensor networks, low-delay transmission, joint source-channel coding, distributed source coding, estimation, quantization
National Category
urn:nbn:se:kth:diva-33404 (URN)978-91-7415-983-7 (ISBN)
Public defence
2011-05-26, Hörsal F3, Lindstedtsvägen 26, KTH, Stockholm, 13:15 (English)
ICT - The Next Generation
The author changed name from Johannes Karlsson to Johannes Kron in January 2011. QC 20110512Available from: 2011-05-12 Created: 2011-05-05 Last updated: 2011-10-30Bibliographically approved

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