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IoT Networking Resource Allocation and Cooperation
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
2017 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The Internet of Things (IoT) promises that "anything that can be connected, will be connected". It comprises of Information and Communication Technologies that interconnect billions of physical and visual things with some "basic" intelligence. The emerging IoT services will be able to react with minimal human intervention and further contribute to the big data era that requires real-time, ultrareliable, ubiquitous, scalable, and heterogeneous operation.

This thesis is the result of our investigations on problems dealing with the evolution of such technologies. First, we explore the potential of using relay i.e., intermediate, nodes that assist users to transmit their packets in a a cellular network. Paper I provides insights into how adapting the cooperation of the relay's receiver and transmitter optimizes the network-wide throughput while the relay's queue stability is guaranteed.

The next part of the thesis copes with the resource allocation of services on IoT devices equipped with multiple network interfaces. The resources are heterogeneous and can be split among dierent interfaces. Additionally, they are not interchangeable. In paper II, we develop optimization models for this resource allocation problem, prove the complexity of the models, and derive results that give intuition into the problems. Moreover, we propose algorithms that approximate the optimal solution and show under which circumstances this is possible.

Finally, in paper III, we present a resource allocation problem specically for smart cities services. In comparison to the previous problem denition, resources are of one type but the IoT network device can oer capacities that vary over time. Furthermore, services have a tolerance regarding their preferred scheduling, namely, their allocation over time. We parametrize each service with a pricing function to indicate its tolerance to be served at the beginning of the scheduling window. We prove that the problem is computationally hard and provide numerical results to gain insight into how different pricing weight functions impact the allocations' distribution within the scheduling window.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2017. , s. 20
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1785
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-139891Lokal ID: LiU-TEK-LIC-2017ISBN: 9789176854617 (tryckt)OAI: oai:DiVA.org:liu-139891DiVA, id: diva2:1134728
Veileder
Forskningsfinansiär
EU, FP7, Seventh Framework Programme, FP7/2007-2013: Grant 609094 (RERUM), 612361 (SOrBet), 324515 (MESH-WISE), 645705 (DECADE), 318992 (WINDOW)Tilgjengelig fra: 2017-08-21 Laget: 2017-08-21 Sist oppdatert: 2019-05-09bibliografisk kontrollert
Delarbeid
1. Probabilistic Cooperation of a Full-Duplex Relay in Random Access Networks
Åpne denne publikasjonen i ny fane eller vindu >>Probabilistic Cooperation of a Full-Duplex Relay in Random Access Networks
2017 (engelsk)Inngår i: IEEE Access, E-ISSN 2169-3536, Vol. 5, s. 7394-7404Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In this paper, we analyze the probabilistic cooperation of a full-duplex relay in a multiuser random-access network. The relay is equipped with on/off modes for the receiver and the transmitter independently. These modes are modeled as probabilities by which the receiver and the transmitter are activated. We provide analytical expressions for the performance of the relay queue, such as arrival and service rates, stability conditions, and the average queue size. We optimize the relays operation setup to maximize the network-wide throughput while, simultaneously, we keep the relays queue stable and lower the relays receptions and transmissions. Furthermore, we study the effect of the SINR threshold and the self-interference coefficient on the per-user and network-wide throughput. For low SINR threshold, we show under which circumstances it is beneficial to switch off the relay completely, or switch off the relays receiver only.

sted, utgiver, år, opplag, sider
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017
Emneord
Cooperative communication; relays; relay networks; multiaccess communication; multiple access interference; internet of things (IoT); internet; wireless sensor networks (WSNs); body sensor networks (BSNs)
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-139423 (URN)10.1109/ACCESS.2016.2642540 (DOI)000403140800053 ()
Merknad

Funding Agencies|European Union [609094, 612361]

Tilgjengelig fra: 2017-08-07 Laget: 2017-08-07 Sist oppdatert: 2019-11-08
2. Allocation of Heterogeneous Resources of an IoT Device to Flexible Services
Åpne denne publikasjonen i ny fane eller vindu >>Allocation of Heterogeneous Resources of an IoT Device to Flexible Services
Vise andre…
2016 (engelsk)Inngår i: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, nr 5, s. 691-700Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Internet-of-Things (IoT) devices can be equipped with multiple heterogeneous network interfaces. An overwhelmingly large amount of services may demand some or all of these interfaces available resources. Herein, we present a precise mathematical formulation of assigning services to interfaces with heterogeneous resources in one or more rounds. For reasonable instance sizes, the presented formulation produces optimal solutions for this computationally hard problem. We prove the NP-completeness of the problem and develop two algorithms to approximate the optimal solution for big instance sizes. The first algorithm allocates the most demanding service requirements first, considering the average cost of interfaces resources. The second one calculates the demanding resource shares and allocates the most demanding of them first by choosing randomly among equally demanding shares. Finally, we provide simulation results giving insight into services splitting over different interfaces for both cases.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2016
Emneord
Internet of Things (IoT); mixed integer linear programming; network interfaces; optimization; resource management; scheduling algorithms
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-135000 (URN)10.1109/JIOT.2016.2535163 (DOI)000393047800006 ()
Merknad

Funding Agencies|Excellence Center at Linkoping-Lund in Information Technology; European Union [324515, 612316, 609094]

Tilgjengelig fra: 2017-03-06 Laget: 2017-03-06 Sist oppdatert: 2019-11-08bibliografisk kontrollert

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