Correlation-Aware Ordered Transmissions Scheme for Energy-Efficient Detection

Gupta, SS and Mehta, NB (2020) Correlation-Aware Ordered Transmissions Scheme for Energy-Efficient Detection. In: 2020 IEEE International Conference on Communications, ICC 2020, 7-11, June 2020, Dublin, Ireland.

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Abstract

Ordered transmissions is an energy-efficient scheme that improves the lifetime of a wireless sensor network (WSN) and yet achieves the same performance as the conventional unordered transmissions scheme (UTS) in which all nodes transmit. We present a novel scheme for the binary hypothesis testing problem that exploits ordered transmissions to reduce the number of transmissions for the general and practically important scenario in which the measurements of the sensor nodes are correlated. It differs from the literature that assumes that, conditioned on the hypotheses, the measurements of different nodes are statistically independent or that the covariance matrix has a special structure. In our scheme, the nodes transmit their measurements in the decreasing order of the magnitudes of the measurements. We present two novel approaches to design the decision rules. These address the presence of crossterms between the measurements of different nodes that now arise in the decision statistic due to correlation and make a distributed implementation challenging. Both our approaches markedly reduce the average number of transmissions compared to UTS and ensure that the error probability remains the same. © 2020 IEEE.

Item Type:	Conference Paper
Publication:	IEEE International Conference on Communications
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Covariance matrix; Energy efficiency, Binary Hypothesis Testing; Decision statistics; Distributed implementation; Energy efficient; Error probabilities; Number of transmissions; Ordered transmissions; Special structure, Sensor nodes
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	02 Sep 2020 06:55
Last Modified:	02 Sep 2020 06:55
URI:	http://eprints.iisc.ac.in/id/eprint/66437

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