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Panigrahi, Smruti RanjanORCID iD iconorcid.org/0000-0001-8387-3779
Publications (4 of 4) Show all publications
Panigrahi, S. R., Björsell, N. & Bengtsson, M. (2019). Data Fusion in the Air With Non-Identical Wireless Sensors. IEEE Transactions on Signal and Information Processing over Networks, 5(4), 646-656
Open this publication in new window or tab >>Data Fusion in the Air With Non-Identical Wireless Sensors
2019 (English)In: IEEE Transactions on Signal and Information Processing over Networks, ISSN 2373-776X, Vol. 5, no 4, p. 646-656Article in journal (Refereed) Published
Abstract [en]

In this paper, a multi-hypothesis distributed detection technique with non-identical local detectors is investigated. Here, for a global event, some of the sensors/detectors can observe the whole set of hypotheses, whereas the remaining sensors can either see only some aspects of the global event or infer more than one hypothesis as a single hypothesis. Another possible option is that different sensors provide complementary information. The local decisions are sent over a multiple access radio channel so that the data fusion is formed in the air before reaching the decision fusion center (DFC). An optimal energy fusion rule is formulated by considering the radio channel effects and the reliability of the sensors together, and a closed-form solution is derived. A receive beamforming algorithm, based on a modification of Lozano's algorithm, is proposed to equalize the channel gains from different sensors. Sensors with limited detection capabilities are found to boost the overall system performance when they are used along with fully capable sensors. The additional transmit power used by these sensors is compensated by the designed fusion rule and the antenna array gain. Additionally, the DFC, equipped with a large antenna array, can reduce the overall transmit energy consumption without sacrificing the detection performance.

Keywords
Temperature sensors, Manganese, Wireless sensor networks, Antenna arrays, Sensor fusion, Data integration, Wireless Sensor Network, Multiple hypotheses, Non-identical local detector, MAC, Data Fusion in the air, Optimal power fusion rule, Large antenna array
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-30918 (URN)10.1109/TSIPN.2019.2928175 (DOI)000492993200003 ()2-s2.0-85074191069 (Scopus ID)
Funder
Swedish Agency for Economic and Regional GrowthEuropean Regional Development Fund (ERDF)
Available from: 2019-11-11 Created: 2019-11-11 Last updated: 2019-11-22Bibliographically approved
Panigrahi, S. R., Björsell, N. & Bengtsson, M. (2019). Distributed detection with non-identical wireless sensors for industrial applications. In: Proceedings of the IEEE International Conference on Industrial Technology: . Paper presented at 2019 IEEE International Conference on Industrial Technology, ICIT 2019; Melbourne; Australia; 13-15 February 2019 (pp. 1403-1408). IEEE
Open this publication in new window or tab >>Distributed detection with non-identical wireless sensors for industrial applications
2019 (English)In: Proceedings of the IEEE International Conference on Industrial Technology, IEEE, 2019, p. 1403-1408Conference paper, Published paper (Refereed)
Abstract [en]

There has been very little exploration when it comes to design distributed detection techniques and data fusion rules with non-identical sensors. This concept can be utilized in many possible applications within industrial automation, surveillance and safety. Here, for a global event, some of the sensors/detectors in the network can observe the full set of the hypotheses, whereas the remaining sensors infer more than one hypotheses as a single hypothesis. The local decisions are sent to the decision fusion center (DFC) over a multiple access wireless channel. In this paper, a fusion rule based on minimization of variance of the local mis-detection is proposed. The presence of sensors with limited detection capabilities is found to have a positive impact on the overall system performance, both in terms of probability of detection and transmit power consumption. Additionally, when the DFC is equipped with a large antenna array, the overall transmit power consumption can be reduced without sacrificing the detection performance. 

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Large antenna array, Mac fusion rule, Multiple hypotheses, Non-identical local detectors, Wireless sensor network, Accident prevention, Antenna arrays, Data fusion, Electric power utilization, Detection performance, Distributed detection, Fusion rule, Industrial automation, Large antennas, Multiple hypothesis, Non-identical, Probability of detection, Wireless sensor networks
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-30587 (URN)10.1109/ICIT.2019.8755012 (DOI)000490548300221 ()2-s2.0-85069036657 (Scopus ID)978-1-5386-6376-9 (ISBN)
Conference
2019 IEEE International Conference on Industrial Technology, ICIT 2019; Melbourne; Australia; 13-15 February 2019
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-11-29Bibliographically approved
Panigrahi, S. R., Björsell, N. & Bengtsson, M. (2017). Feasibility of Large Antenna Arrays towards Low Latency Ultra Reliable Communication. In: 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT): . Paper presented at IEEE International Conference on Industrial Technology (ICIT), March 22-25 2017, Toronto, Canada (pp. 1289-1294). , Article ID 7915549.
Open this publication in new window or tab >>Feasibility of Large Antenna Arrays towards Low Latency Ultra Reliable Communication
2017 (English)In: 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2017, p. 1289-1294, article id 7915549Conference paper, Published paper (Refereed)
Abstract [en]

Industrial automation and safety applications demand low latency and ultra reliable communication. Currently deployed wireless communication technologies are mostly developed for non-critical applications and hence, they are not suitable for these kind of applications. On the other hand, cable based communication is widely popular in industries, even though it has limitations towards cost of installment and is susceptible towards mechanical wear and tear. This paper reviews the feasibility of large antenna arrays at the receiver to achieve low latency and ultra reliable communication for up-link scenarios. The suitability of both coherent and non-coherent multiple input multiple output (MIMO) receivers are investigated. Non-coherent MIMO receiver is found to be a promising option as signal to noise power ratio (SNR) is fairly reasonable in achieving the desired reliability. The effect of antenna correlation at the transmitter and at receiver on reliability are also looked into. Its influence on the system performance is very nominal. Moreover, in certain scenarios, antenna correlation at the transmitter gives a significant improvement in system performance. Furthermore, having a single antenna at the sensors is found not to be a limiting factor in achieving the desired performance goal.

Keywords
5G, ultra reliable communication, MIMO diversity, coherent receiver, non-coherent receiver
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-24123 (URN)10.1109/ICIT.2017.7915549 (DOI)000404252400213 ()2-s2.0-85019610344 (Scopus ID)
Conference
IEEE International Conference on Industrial Technology (ICIT), March 22-25 2017, Toronto, Canada
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2019-12-11Bibliographically approved
Panigrahi, S. R., Björsell, N. & Bengtsson, M. (2017). Large Antenna Array for Low-Latency and Ultra-Reliable Communication. In: : . Paper presented at Swedish Communication Technologies Workshop (Swe-CTW), Göteborg, 1-2 Jun 2017.
Open this publication in new window or tab >>Large Antenna Array for Low-Latency and Ultra-Reliable Communication
2017 (English)Conference paper, Poster (with or without abstract) (Other academic)
Keywords
5G, ultra reliable communication, MIMO diversity, coherent receiver, non-coherent receiver
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-24127 (URN)
Conference
Swedish Communication Technologies Workshop (Swe-CTW), Göteborg, 1-2 Jun 2017
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2018-03-13Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8387-3779

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