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Guntupalli, Lakshmikanth
Publications (9 of 9) Show all publications
Mahmood, A., Sisinni, E., Guntupalli, L., Rondón, R., Hassan, S. A. & Gidlund, M. (2019). Scalability Analysis of a LoRa Network under Imperfect Orthogonality. IEEE Transactions on Industrial Informatics, 15(3), 1425-1436
Open this publication in new window or tab >>Scalability Analysis of a LoRa Network under Imperfect Orthogonality
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2019 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 15, no 3, p. 1425-1436Article in journal (Refereed) Published
Abstract [en]

Low-power wide-area network (LPWAN) technologies are gaining momentum for internet-of-things (IoT) applications since they promise wide coverage to a massive number of battery-operated devices using grant-free medium access. LoRaWAN, with its physical (PHY) layer design and regulatory efforts, has emerged as the widely adopted LPWAN solution. By using chirp spread spectrum modulation with qausi-orthogonal spreading factors (SFs), LoRa PHY offers coverage to wide-area applications while supporting high-density of devices. However, thus far its scalability performance has been inadequately modeled and the effect of interference resulting from the imperfect orthogonality of the SFs has not been considered. In this paper, we present an analytical model of a single-cell LoRa system that accounts for the impact of interference among transmissions over the same SF (co-SF) as well as different SFs (inter-SF). By modeling the interference field as Poisson point process under duty-cycled ALOHA, we derive the signal-to-interference ratio (SIR) distributions for several interference conditions. Results show that, for a duty cycle as low as 0.33%, the network performance under co-SF interference alone is considerably optimistic as the inclusion of inter-SF interference unveils a further drop in the success probability and the coverage probability of approximately 10% and 15%, respectively for 1500 devices in a LoRa channel. Finally, we illustrate how our analysis can characterize the critical device density with respect to cell size for a given reliability target.

Keywords
IoT, low-power wide-area networks, LoRaWAN, interference, stochastic geometry
National Category
Communication Systems Telecommunications Computer Engineering
Identifiers
urn:nbn:se:miun:diva-34280 (URN)10.1109/TII.2018.2864681 (DOI)000460580100018 ()2-s2.0-85051371604 (Scopus ID)
Projects
TIMELINESSSMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
European Regional Development Fund (ERDF)Knowledge Foundation
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2019-10-16Bibliographically approved
Guntupalli, L., Gidlund, M. & Li, F. Y. (2018). An On-Demand Energy Requesting Scheme for Wireless Energy Harvesting Powered IoT Networks. IEEE Internet of Things Journal, 5(4), 2868-2879, Article ID 8390912.
Open this publication in new window or tab >>An On-Demand Energy Requesting Scheme for Wireless Energy Harvesting Powered IoT Networks
2018 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 5, no 4, p. 2868-2879, article id 8390912Article in journal (Refereed) Published
Abstract [en]

Energy harvesting (EH) delivers a unique technique for replenishing batteries in Internet of Things (IoT) devices. Equipped with an energy harvesting accessory, EH-enabled sensor nodes/IoT devices extract energy from ambient resources such as solar or radio frequency (RF) signals. Relying on residual battery or/and harvested energy, sensor nodes in an IoT network perform data exchange activities. Otherwise, the delivery of sensed data would be delayed until sufficient energy is harvested. In this paper, we propose an on-demand energy requesting (OER) mechanism for improving the delay performance of a wireless EH-powered IoT network. The proposed scheme acquires energy when necessary from an energy transmitter that is capable of transmitting energy via directed RF signals. Furthermore we develop two associated discrete time Markov chain (DTMC) models to analyze the performance of the OER scheme, targeting at a generic synchronous medium access control (MAC) protocol. Using the proposed DTMC models, we evaluate OER with respect to average packet delay, network throughput, packet loss probability, and packet reliability ratio by employing a specific synchronous MAC protocol. Numerical results obtained from both analysis and discrete-event simulations coincide with each other, indicating the accuracy of the models and revealing the behavior of EH based packet transmissions.

Keywords
IoT network, energy harvesting, on-demand energy requesting, DTMC modeling, performance evaluation
National Category
Communication Systems Telecommunications Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33891 (URN)10.1109/JIOT.2018.2849069 (DOI)000441428700057 ()2-s2.0-85048892149 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
European Regional Development Fund (ERDF)
Available from: 2018-06-25 Created: 2018-06-25 Last updated: 2019-09-09Bibliographically approved
Guntupalli, L., Ghose, D., Li, F. & Gidlund, M. (2018). Energy Efficient Consecutive Packet Transmissions in Receiver-initiated Wake-up Radio Enabled WSNs. IEEE Sensors Journal, 18(11), 4733-4745
Open this publication in new window or tab >>Energy Efficient Consecutive Packet Transmissions in Receiver-initiated Wake-up Radio Enabled WSNs
2018 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 18, no 11, p. 4733-4745Article in journal (Refereed) Published
Abstract [en]

In wake-up radio (WuR)-enabled wireless sensor networks, data communication among nodes is triggered in an on-demand manner, by either a sender or a receiver. For receiver-initiated WuR (RI-WuR), a~receiving node wakes up sending nodes through a wake-up call. Correspondingly sending nodes transmit packets in a traditional way by competing with one another multiple times in a single operational cycle. In~this paper, we propose a receiver-initiated consecutive packet transmission WuR (RI-CPT-WuR) medium access control (MAC) protocol, which eliminates multiple competitions to achieve higher energy efficiency. Furthermore, we develop two associated discrete time Markov chains (DTMCs) for evaluating the performance of RI-CPT-WuR and an existing RI-WuR MAC protocol. Using the solutions from the DTMC models, closed-form expressions for network throughput, average delay, packet reliability ratio, energy consumption and lifetime, and energy efficiency for both protocols are obtained. Numerical results demonstrate the superiority of the RI-CPT-WuR protocol.

Keywords
WSNs, IoT, wake-up radio, consecutive packet transmissions, DTMC modeling, performance evaluation
National Category
Computer Engineering Communication Systems
Identifiers
urn:nbn:se:miun:diva-33529 (URN)10.1109/JSEN.2018.2825540 (DOI)000432017100045 ()2-s2.0-85045303635 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)TIMELINESS
Funder
Knowledge FoundationEuropean Regional Development Fund (ERDF)
Available from: 2018-04-26 Created: 2018-04-26 Last updated: 2019-09-09Bibliographically approved
Beltramelli, L., Guntupalli, L., Gidlund, M., Österberg, P. & Jennehag, U. (2018). Modeling of Enhanced Distributed Channel Access with Station Grouping: A Throughput Analysis. In: Proc. IEEE 88th Vehicular Technology Conference (VTC'18-fall), Chicago, USA, Aug. 2018.: . Paper presented at IEEE 88th Vehicular Technology Conference (VTC'18-fall), Chicago, USA, 27-30 Aug. 2018. IEEE conference proceedings, Article ID 8690814.
Open this publication in new window or tab >>Modeling of Enhanced Distributed Channel Access with Station Grouping: A Throughput Analysis
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2018 (English)In: Proc. IEEE 88th Vehicular Technology Conference (VTC'18-fall), Chicago, USA, Aug. 2018., IEEE conference proceedings, 2018, article id 8690814Conference paper, Published paper (Refereed)
Abstract [en]

Machine to Machine (M2M) communication networksare expected to connect a large number of power constrained devices in long range applications with differentquality of service (QoS) requirements. Medium access control with QoS support such as the Enhanced Distributed Channel Access (EDCA) defined by IEEE 802.11e provides traffic differentiation and corresponding priority classes, which guarantees QoSaccording to the needs of applications. In this paper, we employa station grouping mechanism for enhancing the scalability of EDCA to handle the massive number of access attempts expected in large M2M networks. Furthermore, we develop a discrete time Markov chain (DTMC) model to analyze the performance of EDCA with station grouping. Using the developed DTMC model, we calculate throughput for each access category as well as for different combinations of grouping and EDCA parameters. Thenumerical results show that the model can precisely reveal the behavior of EDCA mechanism. Moreover, it is demonstrated that employing the proposed grouping mechanism for EDCA increasesthe normalized throughput significantly for all classes of priority.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2018
Keywords
EDCA, IEEE 802.11e, Grouping, Throughput
National Category
Computer Engineering Communication Systems Telecommunications
Identifiers
urn:nbn:se:miun:diva-34526 (URN)10.1109/VTCFall.2018.8690814 (DOI)000468872400263 ()2-s2.0-85064912874 (Scopus ID)
Conference
IEEE 88th Vehicular Technology Conference (VTC'18-fall), Chicago, USA, 27-30 Aug. 2018
Projects
TIMELINESSSMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
Knowledge Foundation
Available from: 2018-09-27 Created: 2018-09-27 Last updated: 2020-02-18Bibliographically approved
Baswade, A. M., Beltramelli, L., Antony, F. A., Gidlund, M., Reddy Tamma, B. & Guntupalli, L. (2018). Modelling and Analysis of Wi-Fi and LAA Coexistence with Priority Classes. In: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob): . Paper presented at The 14th International Conference on Wireless and Mobile Computing, Networking and Communications, Limassol, Cyprus, during October, 2018.. IEEE
Open this publication in new window or tab >>Modelling and Analysis of Wi-Fi and LAA Coexistence with Priority Classes
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2018 (English)In: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

The Licensed Assisted Access (LAA) is shown asa required technology to avoid overcrowding of the licensedbands by the increasing cellular traffic. Proposed by 3GPP,LAA uses a Listen Before Talk (LBT) and backoff mechanismsimilar to Wi-Fi. While many mathematical models have beenproposed to study the problem of the coexistence of LAAand Wi-Fi systems, few have tackled the problem of QoSprovisioning, and in particular analysed the behaviour of thevarious classes of priority available in Wi-Fi and LAA. Thispaper presents a new mathematical model to investigate theperformance of different priority classes in coexisting Wi-Fi andLAA networks. Using Discrete Time Markov Chains, we modelthe saturation throughput of all eight priority classes used byWi-Fi and LAA. The numerical results show that with the 3GPPproposed parameters, a fair coexistence between Wi-Fi and LAAcannot be achieved. Wi-Fi users in particular suffer a significantdegradation of their performance caused by the collision withLAA transmissions which has a longer duration compared toWi-Fi transmissions.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
EDCA, Wi-Fi, Coexistence, QoS, LAA
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-34717 (URN)10.1109/WiMOB.2018.8589150 (DOI)000459858400038 ()2-s2.0-85060783880 (Scopus ID)978-1-5386-6876-4 (ISBN)
Conference
The 14th International Conference on Wireless and Mobile Computing, Networking and Communications, Limassol, Cyprus, during October, 2018.
Projects
TIMELINESSSMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
Knowledge Foundation
Available from: 2018-10-12 Created: 2018-10-12 Last updated: 2019-09-09Bibliographically approved
Guntupalli, L. & Gidlund, M. (2018). Multiple Packet Transmissions in Duty Cycling WSNs: A DTMC Based Throughput Analysis. IEEE Wireless Communications Letters, 7(3), 480-483
Open this publication in new window or tab >>Multiple Packet Transmissions in Duty Cycling WSNs: A DTMC Based Throughput Analysis
2018 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 7, no 3, p. 480-483Article in journal (Refereed) Published
Abstract [en]

Multiple packet transmissions (MPT) improve performance by transmitting multiple packets in a single operational cycle. Asynchronous duty cycling (DC) medium access control (MAC) protocols such as receiver initiated MAC protocol (RI-MAC) transmit multiple packets in one cycle. In this paper, we develop two associated discrete time Markov chain (DTMC) models to model MPT that can be achieved via multiple node competitions. Furthermore, we present the way of incorporating those developed models with each other for evaluating performance of RI-MAC with MPT. Using the solution of DTMC models, network throughput of MPT is calculated and compared with the one achieved by single packet transmission MAC (e.g., S-MAC) protocol. Validation of analytical results through discrete-event simulations confirms the accuracy of modeling and discloses the operation of MPT in RI-MAC protocol. 

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Analytical models, duty-cycled MAC protocols, Media Access Protocol, multiple packet transmissions, performance analysis, Probability, Receivers, Throughput, throughput., Wireless sensor networks, WSNs
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:miun:diva-32763 (URN)10.1109/LWC.2017.2787560 (DOI)000436010400050 ()2-s2.0-85040026269 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-01-30 Created: 2018-01-30 Last updated: 2019-09-09Bibliographically approved
Guntupalli, L., Martinez-Bauset, J. & Li, F. Y. (2018). Performance of frame transmissions and event-triggered sleeping in duty-cycled WSNs with error-prone wireless links. Computer Networks, 134, 215-227
Open this publication in new window or tab >>Performance of frame transmissions and event-triggered sleeping in duty-cycled WSNs with error-prone wireless links
2018 (English)In: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 134, p. 215-227Article in journal (Refereed) Published
Abstract [en]

Two types of packet transmission schemes are prevalent in duty-cycled wireless sensor networks, i.e., single packet transmission and aggregated packet transmission which integrates multiple packets in one frame. While most existing models are developed based on an error-free channel assumption, this paper evaluates the performance of both transmission schemes under error-prone channel conditions. We develop a four-dimensional discrete-time Markov chain model to investigate the impact of channel impairments on the performance of frame transmissions. Together with tracking the number of packets in the queue, number of retransmissions and number of active nodes, the fourth dimension of the model is able to capture the channel behavior at the frame-level. Based on the developed model, we analyze packet loss probability, packet delay, throughput, node energy consumption, and energy efficiency under various channel conditions. To further reduce energy consumption, we propose an event-triggered sleeping (ETS) energy mode for synchronous duty-cycling medium access control protocols. Numerical results reveal to which extent channel impairments may deteriorate the network performance, as well as the advantage of adopting aggregated packet transmission. The benefit brought by the ETS energy mode is also demonstrated showing that the network lifetime is considerably extended, particularly in low traffic load scenarios.

Keywords
Duty-cycled WSNs; Frame transmission; Error-prone channels; Event-triggered sleeping; Discrete-time Markov chain; Performance evaluation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-32852 (URN)10.1016/j.comnet.2018.01.047 (DOI)
Available from: 2018-02-15 Created: 2018-02-15 Last updated: 2018-02-16Bibliographically approved
Guntupalli, L., Farag, H., Mahmood, A. & Gidlund, M. (2018). Priority-Oriented Packet Transmissions in Internet of Things: Modeling and Delay Analysis. In: 2018 IEEE International Conference on Communications (ICC): . Paper presented at IEEE International Conference on Communications (ICC'18), Kansas, USA, May 2018. IEEE, Article ID 8422699.
Open this publication in new window or tab >>Priority-Oriented Packet Transmissions in Internet of Things: Modeling and Delay Analysis
2018 (English)In: 2018 IEEE International Conference on Communications (ICC), IEEE, 2018, article id 8422699Conference paper, Published paper (Refereed)
Abstract [en]

Priority-oriented packet transmission (PPT) has been a promising solution for transmitting time-critical packets in timely manner during emergency scenarios in Internet ofThings (IoT). In this paper, we develop two associated discrete time Markov chain (DTMC) models to analyze performance of the PPT in an IoT network. Using the proposed DTMC models, we investigate the effect of traffic prioritization interms of average packet delay for a synchronous medium access control (MAC) protocol. Furthermore, the results obtained from analytical models are validated via discrete-event simulations. Numerical results prove the accuracy of the models and reveal the behavior of priority based packet transmissions.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
IoT, WSN, WuR, delay, analysis, DTMC
National Category
Communication Systems Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33670 (URN)10.1109/ICC.2018.8422699 (DOI)2-s2.0-85051436438 (Scopus ID)978-1-5386-3180-5 (ISBN)978-1-5386-3181-2 (ISBN)
Conference
IEEE International Conference on Communications (ICC'18), Kansas, USA, May 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)TIMELINESS
Funder
European Regional Development Fund (ERDF)Knowledge Foundation
Available from: 2018-05-28 Created: 2018-05-28 Last updated: 2019-09-09Bibliographically approved
Guntupalli, L., Li, F. & Gidlund, M. (2017). Energy Harvesting Powered Packet Transmissions in Duty-cycled WSNs: A DTMC Analysis. In: Proc. of IEEE GLOBECOM'17, Singapore, Dec. 2017: . Paper presented at IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 4-8, 2017. IEEE
Open this publication in new window or tab >>Energy Harvesting Powered Packet Transmissions in Duty-cycled WSNs: A DTMC Analysis
2017 (English)In: Proc. of IEEE GLOBECOM'17, Singapore, Dec. 2017, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Energy harvesting (EH) promises an extended lifetime for wireless sensor networks (WSNs), supplying sensor nodes with accumulated energy from natural sources. Different from battery powered sensors, nodes in EH-enabled WSNs are equipped with an energy harvesting accessory in order to extract energy from surrounding sources. Based upon the harvested energy, sensor nodes perform data exchange activities. In this paper, we develop two discrete time Markov chain (DTMC)models to analyze the performance of packet transmissionsin such a WSN while employing a generic medium access control (MAC) protocol. Using the proposed DTMC models, we investigate the effect of EH over a synchronous MAC protocol with respect to average packet delay and network throughput. Furthermore, the analytical results are validated via discrete event simulations. Numerical results indicate the accuracy of the models and reveal the behavior of packet transmissions relying on harvested energy.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Global Communications Conference, ISSN 2334-0983
Keywords
Energy Harvesting, WSN, duty cycling, delay, reliability
National Category
Communication Systems Telecommunications Computer Engineering
Identifiers
urn:nbn:se:miun:diva-32660 (URN)10.1109/GLOCOM.2017.8254049 (DOI)000428054300129 ()2-s2.0-85046376862 (Scopus ID)978-1-5090-5019-2 (ISBN)
Conference
IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 4-8, 2017
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
European Regional Development Fund (ERDF)
Available from: 2018-01-11 Created: 2018-01-11 Last updated: 2019-09-09Bibliographically approved
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