Relevant bibliographies by topics / Bluetooth low energy

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Bluetooth low energy'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Bluetooth low energy"

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Yordanov, Yordan, and Aydan Haka. "Bluetooth Low Energy Technology Simulators." Journal of CIEES 2, no. 1 (July 22, 2022): 7–11. http://dx.doi.org/10.48149/jciees.2022.2.1.1.

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The growing interest in Internet of Things technologies in modern life requires their active research. This can be done most easily by using a simulation product for the technology in consideration. This article presents the most famous existing simulation products of Bluetooth Low Energy technology, as well as the one developed by the authors, and presents a comparison between the considered solutions.
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Hansen, Christopher J. "Internetworking with Bluetooth Low Energy." GetMobile: Mobile Computing and Communications 19, no. 2 (August 25, 2015): 34–38. http://dx.doi.org/10.1145/2817761.2817774.

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Tyler, Neil. "Bluetooth Low Energy v5.2 IP." New Electronics 53, no. 4 (February 25, 2020): 6. http://dx.doi.org/10.12968/s0047-9624(22)61126-x.

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Oliveira, P., and P. J. Matos. "BLEGen — A Code Generator for Bluetooth Low Energy Services." Lecture Notes on Software Engineering 4, no. 1 (2016): 7–11. http://dx.doi.org/10.7763/lnse.2016.v4.215.

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Antonioli, Daniele, Nils Ole Tippenhauer, and Kasper Rasmussen. "Key Negotiation Downgrade Attacks on Bluetooth and Bluetooth Low Energy." ACM Transactions on Privacy and Security 23, no. 3 (July 8, 2020): 1–28. http://dx.doi.org/10.1145/3394497.

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Liu, Chendong, Yilin Zhang, and Huanyu Zhou. "A Comprehensive Study of Bluetooth Low Energy." Journal of Physics: Conference Series 2093, no. 1 (November 1, 2021): 012021. http://dx.doi.org/10.1088/1742-6596/2093/1/012021.

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Abstract Bluetooth Low Energy (BLE) is an innovative technique that was firstly employed in Bluetooth 4.0 and is being applied in the Bluetooth 5.0 and 5.2 technologies. Bluetooth 5.0 and 5.2 technologies are now widely used in all kinds of electronic communication equipment (e.g., PCs, tablets, smartphones, wearable devices). BLE has the capacity to minimize the power consumption and equipment cost in the low-power devices, which becomes a competitive scheme among the huge number of standard wireless transmission techniques already existing in everyday life for a large number of applications. As one of the available solutions in wireless transmission, Bluetooth technology equipped with the BLE module is very suitable for developing internet of things (IoTs) technology, which is gaining more and more interest. This paper briefly introduces the modulation and encoding of the BLE standard in the physical layer (PHY). The applications of cyclic redundancy check (CRC) in BLE are then presented. Moreover, the main characteristics, including the maximum reachable range, transmission latency, and power consumption of BLE, are also introduced.
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Fafoutis, Xenofon, Evgeny Tsimbalo, and Robert Piechocki. "Timing Channels in Bluetooth Low Energy." IEEE Communications Letters 20, no. 8 (August 2016): 1587–90. http://dx.doi.org/10.1109/lcomm.2016.2574311.

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Sun, Dazhi, and Yangguang Tian. "Address Privacy of Bluetooth Low Energy." Mathematics 10, no. 22 (November 19, 2022): 4346. http://dx.doi.org/10.3390/math10224346.

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Bluetooth low energy (LE) devices have been widely used in the Internet of Things (IoT) and wireless personal area networks (WPAN). However, attackers may compromise user privacy by tracking the addresses of the LE device. The resolvable private address (RPA) mechanism provides address privacy protection for the LE device. Similar to Zhang and Lin’s work in CCS 2022, we investigate the privacy of the RPA mechanism in this paper. Our contributions are threefold. First, we discover that the RPA mechanism has a privacy weakness. The attacker can track the targeted device by exploiting the runs of the RPA mechanism when he intercepts the targeted device’s obsolete RPA value. Second, we propose an improved RPA mechanism to overcome the privacy weakness in the RPA mechanism. The improved RPA mechanism leads to a small amount of extra overheads without requiring modification to the basic cryptographic tools used in the standard specification. Third, we formalize a privacy model to capture the address privacy of the RPA mechanisms. Our improved RPA mechanism provides enhanced privacy guarantees to Bluetooth LE devices in wireless personal applications.
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Kindt, Philipp H., Daniel Yunge, Robert Diemer, and Samarjit Chakraborty. "Energy Modeling for the Bluetooth Low Energy Protocol." ACM Transactions on Embedded Computing Systems 19, no. 2 (March 17, 2020): 1–32. http://dx.doi.org/10.1145/3379339.

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Raj, Uttpal. "Bluetooth Low Energy: A Comprehensive Wireless Technology." International Journal of Advance Research and Innovation 9, no. 3 (2021): 64–69. http://dx.doi.org/10.51976/ijari.932110.

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BLE, Bluetooth low energy is low power wireless communication technology that is used to connect a number of devices like smartphones, smart watches, wireless speakers, fitness watches, etc. at the same instance of time. Apple was the first phone to introduce BLE into their smartphone iphone4s back in 2011 and after that most of the companies started to include BLE into their devices for a faster reliable and secure connection. The technology was made in 2010 named Bluetooth smart also Bluetooth version 4.0 and then BLE5 was introduced in 2016 and the device versions which could run BLE are windows 8 or above, android 4.0 and above, IOS 5.0 and later, Linux 3.4, and mac OS 10.10 and above.
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Dissertations / Theses on the topic "Bluetooth low energy"

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Lindberg, Johan. "Korsplattformskommunikation med Bluetooth Low Energy." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-43317.

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This project investigated the current market regarding wireless net and the communication between the tools used for diagnostics/maintenance and an embedded system. Based on documentation obtained through interviews a demo system was created based on Bluetooth Low Energy (BLE) communication between an embedded system and an Android device. This report intends to describe the tools and methods used in the design of the demo system and the result of an analysis of the BLE communication. Bluetooth Low Energy is an exciting protocol with wide applicability within the industrial field. This project investigated the communicational possibilities between a Smartphone and a Raspberry Pi and based on the results that emerged the conclusion can be drawn that BLE is a protocol with many beneficial applications within industrial IT.
Projektet undersökte dagens marknad gällande trådlösa nät samt kommunikation mellan verktyg som används för diagnostik/underhåll och ett inbyggt system. Utifrån underlaget som erhölls genom intervjuer har ett demosystem skapats som bygger på Bluetooth Low Energy (BLE) kommunikation mellan ett inbyggt system och en Android-enhet. Denna rapport avser redogöra för de verktyg och metoder som använts för att konstruera ett demosystem samt resultatet av en analys av BLE-kommunikationen. Bluetooth Low Energy är ett spännande protokoll med stora tillämpningsmöjligheter inom industrin. Detta projekt har undersökt möjligheterna att kommunicera mellan en Smartphone och en Raspberry Pi och utifrån resultaten som uppkommit kan slutsatsen dras att BLE är ett protokoll som kan ha många och fördelaktiga tillämpningar inom Industriell IT.
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Darroudi, Seyed Mahdi. "Contributions to bluetooth low energy mesh networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669722.

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Bluetooth Low Energy (BLE) has become a popular Internet of Things (IoT) technology. However, it was originally designed to only support the star topology. This PhD thesis investigates and evaluates different Bluetooth Low Energy (BLE) mesh network approaches, including existing ones (such as the Bluetooth Mesh standard), and our own solution for IPv6-based BLE mesh networking (6BLEMesh). The thesis comprises 6 main contributions: 1.- A comprehensive survey on existing BLE mesh networking proposals and a taxonomy for BLE mesh network solutions. 2.- An energy consumption model for Bluetooth Mesh. The model allows to predict useful performance parameters, such as device average current consumption, device lifetime and energy efficiency, considering the impact of the most relevant Bluetooth Mesh parameters, i.e. PollTimeout and ReceiveWindow, as well as application parameters (e.g. the data interval for a sensor that periodically reports its readings). 3.- A new proposed IPv6-based BLE mesh networking IETF standard (in progress), called 6BLEMesh. After defining the characteristics and properties of 6BLEMesh, we evaluated it in terms of connectivity, latency, RTT, and energy consumption. 4.- For the connectivity evaluation of 6BLEMesh, we developed an analytical model that takes a set of network and scenario characteristics as inputs, and provides two main results: i) the probability of no isolation of a node, and ii) the k-connectivity of the considered network. We validated the model by simulation. 5.- An implementation, and an experimental evaluation, of 6BLEMesh. We built a three-node testbed consisting of all node types (i.e. 6LN, 6LR and 6LBR). We used three different popular commercial hardware platforms. We evaluated a number of performance parameters on the testbed, related with latency and energy consumption. Next, we characterized the current consumption patterns of the complete life cycle for different node types in the three-node testbed. We also evaluated the energy performance of a 6LN on three different platforms. We presented a 6LN current consumption model for different connInterval settings. To this end, we experimentally characterized each current consumption state in terms of its duration time and average current consumption value. We illustrated the impact of connInterval on energy performance. 6.- A comparison between Bluetooth Mesh and 6BLEMesh, in terms of protocol stack, protocol encapsulation overhead, end-toend latency, energy consumption, message transmission count, end-to-end reliability, variable topology robustness and Internet connectivity. Bluetooth Mesh and 6BLEMesh offer fundamentally different BLE mesh networking solutions. Their performance depends significantly on their parameter configuration. Nevertheless, the following conclusions can be obtained. Bluetooth Mesh exhibits slightly greater protocol encapsulation overhead than 6BLEmesh. Both Bluetooth Mesh and 6BLEMesh offer flexibility to configure per-hop latency. For a given latency target, 6BLEMesh offers lower energy consumption. In terms of message transmission count, both solutions may offer relatively similar performance for small networks; however, BLEMesh scales better with network size and density. 6BLEMesh approaches ideal packet delivery probability in the presence of bit errors for most parameter settings (at the expense of latency increase), whereas Bluetooth Mesh requires path diversity to achieve similar performance. Bluetooth Mesh does not suffer the connectivity gaps experimented by 6BLEMesh due to topology changes. Finally, 6BLEMesh naturally supports IP-based Internet connectivity, whereas Bluetooth Mesh requires a protocol translation gateway.
Bluetooth Low Energy (BLE) ha esdevingut una tecnologia popular per a Internet of Things (loT). Ara bé, va ser originalment dissenyada per suportar només la topologia en estrella. Aquesta tesi doctoral investiga i avalua diferents alternatives de xarxa mesh BLE, incloent alternatives existents (com l'estandard Bluetooth Mesh), i la nostra propia solució basada en IPv6, 6BLEMesh. Aquesta tesi comprén 6 contribucions·principals: 1.- Una revisió exhaustiva de l'estat de l'art i una taxonomia de les xarxes mesh BLE. 2.- Un model de consum d'energia per Bluetooth Mesh. El model permet predir parametres de rendiment útils, tals com consum de corrent, temps de vida del dispositiu i eficiéncia energética, considerant !'impacte deis principals parametres de Bluetooth Mesh (PollTimeout i ReceiveWindow) i a nivell d'aplicació. 3.- Un nou estandard (en progrés) anomenat 6BLEMesh. Després de definir les característiques de 6BLEMesh, aquesta solució ha estat avaluada en termes de connectivitat, laténcia, RTT i consum d'energia. 4.- Per a l'avaluació de connectivitat de 6BLEMesh, hem desenvolupat un model analític que proporciona dos resultats principals: i) probabilitat de no arllament d'un node i ii) k-connectivitat de la xarxa considerada. Hem validat el model mitjani;:ant simulació. .- Una imP.lementació, i una avaluació experimental, de 6BLEMesh. S'ha construrt un testbed de tres nodes, que comprén 5tots els tipus de node principals (6LN, 6LR i 6LBR). S'han usat tres plataformes hardware diferents. S'han avaluat diversos parametres de rendiment en el testbed, relacionats amb laténcia i consum d'energia. A continuació, s'ha caracteritzat els patrons de consum de corren! d'un ciclde de vida complet per als diferents tipus de nodes en el testbed. També s'han avaluat les prestacions d'energia d'un 6LN en tres plataformes diferents. S'ha presenta! un model de consum de corren! d'un 6LN per a diferents valors de connlnterval. Per aquest fi, s'ha caracteritzat emplricament cada estat de consum de corrent en termes de la seva durada i consum de corrent. 6.- Una comparativa entre Bluetooth Mesh i 6BLEMesh, en termes de pila de protocols, overhead d'encapsulament de protocol, laténcia extrem a extrem, consum d'energia, nombre de missatges transmesos, fiabilitat extrem a extrem, robustesa davant de topologies variables, i connexió a Internet. Bluetooth Mesh i 6BLEMesh són solucions de BLE mesh networking fonamentalment diferents. Les seves prestacions depenen de la seva configuració de parametres. Ara bé, es poden extreure les següents conclusions. Bluetooth Mesh mostra un overhead d'encapsulament de protocol lleugerament superior al de 6BLEmesh. Tots dos, Bluetooth Mesh i 6BLEMesh, ofereixen flexibilitat per configurar la laténcia per cada salt. Per un target de laténcia doni¡it, 6BLEMesh ofereix un consum d'energia inferior. En termes de nombre de missatges transmesos, les dues solucions ofereixen prestacions relativament similars per a xarxes petites. Ara bé, 6BLEMesh escala millor amb la mida i la densitat de la xarxa. 6BLEMesh s'aproxima a una probabilitat d'entrega de paquets ideal en preséncia d'errors de bit (amb un increment en la laténcia), mentre que Bluetooth Mesh requereix diversitat de caml per assolir unes prestacions similars. Bluetooth Mesh no pateix els gaps de connectivitat que experimenta 6BLLEMesh a causa de canvis en la topología. Finalment, 6BLEMesh suporta de forma natural la connectivitat amb Internet basada en IP, mentre que Bluetooth Mesh requereix un gateway de traducció de protocols.
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Johansson, Mathias, and Mikael Karlsson. "Utvärdering av inomhuslokalisering med Bluetooth Low Energy." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-26788.

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Wireless communication is becoming more common, a relatively new technology within the area is Bluetooth Low Energy. It’s been developed to be energy efficient and in regard to compatibility. Alongside the growth of wireless technology, scientists and companies are looking for new areas of use. One of these is localization, which means to determine the position of a moving device with the use of stationary devices, an example of this would be GPS.This report means to evaluate indoor localization using Bluetooth Low Energy and was made for Combitech AB in Jönköping. The purpose of the work was to determine with what accuracy and precision the position of a moving device could be estimated. The report will answer the following questions: With what accuracy and precision can the position of a device be determined within a test area of varying size using Bluetooth Low Energy? Is the accuracy and precision affected by the environment?The authors chose an inductive reasoning and therefore intended to answer the questions with the help of experimental studies. A system consisting of both software and hardware was developed and was then used to conduct multiple rounds of tests, where the size of the area and the environment was varied.By evaluating the data gathered from said tests and comparing it to theoretical studies and prior research credible results were obtained. The accuracy appears to decrease as the distance between the units is increased, however a deeper analysis shows that the difference is smaller below 500 cm. No correlation is found between environment and accuracy. When three stationary units, forming a triangle with 400 cm between the vertices, are used to determine the position of a fourth the achieved accuracy is 65 cm. During the tests the precision is not shown to decrease with distance, it seems to vary independently. However, as the environment is changed a noticeable difference is observed. In a gymnasium the standard deviation was calculated to 0.38 RSSIwhereas in an office environment it was 0.99 RSSI. In regard to the given results the authors conclude that Bluetooth Low Energy shows some potential for the use in indoor positioning systems. A possible scenario where the technology would be well suited would be when the units need to work of a coin cell battery for a large period of time, while the system must support multiple types of units and a rough estimation of the position is adequate.
Trådlös kommunikation blir allt mer vanlig i vår vardag, en relativt ny teknik inom detta område är Bluetooth Low Energy som utvecklats med avseende på energieffektivitet och kompabilitet. Parallellt med den trådlösa teknikens spridning letar forskare, såväl som företag, efter nya användningsområden. En av dessa är lokalisering, vilket innebär att med fasta enheter avgöra rörliga enheters position, ett exempel på detta är GPS. Detta arbete handlar om att utvärdera inomhuslokalisering med Bluetooth Low Energy och gjordes på uppdrag av Combitech AB i Jönköping. Syftet var att undersöka med vilken noggrannhet och precision en rörlig enhets position kunde avgöras. Rapporten kommer att besvara följande frågeställningar: Med vilken noggrannhet och precision kan man med Bluetooth Low Energy avgöra en enhets position inom ett testområde med varierande storlek? Påverkas noggrannhet och precision av omgivningen?Författarna valde en induktiv metod och ämnade därför besvara frågeställningarna med hjälp av experimentella studier. Ett testsystem bestående av hård- samt mjukvara utvecklades varpå tester utfördes i flera omgångar, där storlek på område och omgivning varierades. Genom utvärdering av testdata i förhållande till teoretiska studier och tidigare forskning kunde trovärdiga resultat nås. Noggrannheten tycks minska då avståndet mellan enheter ökas, djupare analys pekar på en mindre förlust under 500 cm. Det observeras dock inget samband mellan noggrannhet och omgivning. Då tre fasta enheter placeras med ett inbördes avstånd på 400 cm kan positionen avgöras med 65 cm noggrannhet. Precisionen påverkas under testerna inte av avstånd, signalstyrkevärdena varierar helt oberoende av detta. Vid skifte av omgivning tydliggörs dock en markant skillnad i resultat. I en idrottshall beräknades standardavvikelsen till 0,38 RSSI medan den i en kontorsmiljö var 0,99 RSSI.Författarna drar utifrån det uppnådda resultat slutsatsen att Bluetooth Low Energy har viss potential att användas för inomhuslokalisering. Exempel på ett möjligt scenario där tekniken anses väl lämpad är då de fasta enheterna måste drivas av knappcellsbatterier under en lång tidsperiod, att systemet skall stödja en mängd olika enheter samt att en grov uppskattning av position är tillräcklig.
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Wang, Ping. "Bluetooth Low Energy - privacy enhancement for advertisement." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26714.

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The aim of this project is to design, simulate, and implement a privacy enhancement protocol over BLE advertising channels. The design of the privacy enhancement is generic and modular. Due to the risk of privacy disclosure and device tracking by adversary, the main focus will be put on designing and implementing message confidentiality, replay prevention, and anti-tracking of device over BLE advertising channels. Bluetooth core specification 4.1 is used as baseline for design and implementation. In order to provide resistance against replay attacks and device tracking, this project has taken counter approach. It proposes a 3-way handshake protocol for nonce Rs deployment. There are two nonces Ra and Rs involved in the 3-way handshake protocol. The advertiser generates a nonce Ra as challenge sent to the scanner, which assures of freshness of the advertising session. Then the scanner generates a nonce Rs for advertising confidentiality and replay prevention. After the nonce Rs is deployed successfully from the scanner to the advertiser, the local counters Receiving (RX) and Transmitting (TX) on both sides are initialized to be Rs which protects all the following advertisement in the advertising session.To accommodate to open BLE advertising channels a handling mechanism of counter out-of-synchronization is given in system design. Moreover, to avoid unnecessary power consumption in the BLE devices then mitigation for Denial-of-service (DoS) is also proposed. In addition, advertising confidentiality, replay prevention, and antitracking of device have been simulated in Scyther and also been integrated into the code. The functional tests have been done in a realistic testing environment. The results show that the added functionalities work as designed.
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Englund, Albin, and Magnus Suther. "Bluetooth Low Energy som trådlös standard för hemautomation." Thesis, Linköpings universitet, Programvara och system, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94581.

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Allmänheten har en stor efterfrågan av produkter inom området för hemautomation. Den senaste bluetoothstandarden Bluetooth Low Energy skapar nya möjligheter för intressanta produkter som underlättar vardagen. Lösningar som IR och Wi-Fi ger inte de förutsättningar som krävs för att på ett energisnålt och praktiskt sätt erbjuda sådana produkter, något som Bluetooth Low Energy gör. I denna rapport diskuteras standarden i syfte att redogöra för hur den kan användas för att automatisera ett hem. För detta examensarbete implementerades en strömbrytarprototyp och en iOS-applikation, vilka användes för att unders öka och påvisa ett koncept för hur tekniken kan tillämpas för hemautomation. Resultaten visar att teknikens räckvidd är dess främsta begränsning. Likaså visas hur signalstyrkan kan användas som en utlösande faktor för att styra en strömbrytare. Denna rapport redogör också för hur systemet uppnår interoperabilitet genom att implementera en utarbetad profil.
The public has a great demand of products in the field of home automation. The latest Bluetooth standard, Bluetooth Low Energy creates new opportunities for interesting products that simplifies everyday life. Solutions such as infraredand Wi-Fi do not qualify for an energy efficient and practical way to o↵er such products, which Bluetooth Low Energy does. In this report, the standard is discussed in order to account for how it can be used to automate a home. For this thesis a power switch prototype and an iOSapplication where implemented, which where used to investigate and to demonstrate a concept for how the technology can be applied for home automation. Results shows that the range is the main limitation of the technology. It is also shown how the signal strength may be used as a trigger to control a power switch. This report also describes how the system achieves interoperability by implementing a custom profile.
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Zegeye, Wondimu K. "Exploiting Bluetooth Low Energy Pairing Vulnerability in Telemedicine." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596383.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
Telemetry has potentially large contributions to future medical applications. In the past decade wireless devices have invaded the medical area with a wide range of capability as components of a wireless personal area network (WPAN) and Wireless Body Area Network (WBAN). These applications in medical telemetry are not only improving the quality of life of patients and doctor-patient efficiency, but also enabling medical personnel to monitor patients remotely and give them timely health information, reminders, and support-potentially extending the reach of health care by making it available anywhere, anytime. This paper exploits the pairing vulnerability in Bluetooth Low energy (Bluetooth Smart) for HealthCare devices used in medical telemetry applications and demonstrates the key role security plays in telemetry.
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LINHARES, André Guedes. "Performance measurements and analysis of bluetooth low energy." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/19520.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-07-12T13:37:34Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Master_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy (8).pdf: 8669109 bytes, checksum: cb0af886f0cdc7babced229049a33535 (MD5)
Made available in DSpace on 2017-07-12T13:37:34Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Master_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy (8).pdf: 8669109 bytes, checksum: cb0af886f0cdc7babced229049a33535 (MD5) Previous issue date: 2016-05-17
The Internet of Things (IoT) paradigm has been rapidly gaining ground in the academic and industry communities as one of the most important emerging technologies. Some wireless communication technologies such as Bluetooth Low Energy (BLE) have been pointed as key technologies that will drive IoT applications. In order to leverage the BLE technology in IoT applications and identify the niche of applications this technology is more suitable, it is essential we have a deep understanding regarding some features such as link capacity, data transfer delay, connection establishment latency, and power consumption. This work evaluates the networking capabilities from BLE in scenarios of data transfer and connection establishment. The metrics maximum throughput, one-way delay, round-trip time, and connection establishment latency are evaluated through experimental measurements and we investigate how some factors (e.g. connection interval, pairing, packet size) impact on these metrics. Finally, this work proposes analytical models for the metrics investigated.
O paradigma da Internet das Coisas (Internet of Things - IoT) tem recebido grande destaque tanto das comunidades científicas como da indústria nos últimos anos. Algumas tecnologias de comunicação sem fio como Bluetooth Low Energy (BLE) tem sido apontadas como tecnologias que terão um papel fundamental na concepção de aplicativos de IoT. Um entendimento profundo de algumas características da tecnologia, como vazão e atraso na transmissão de dados, latência no estabelecimento de conexão e consumo de energia, é essencial para explorar ao máximo a tecnologia em cenários de IoT e identificar o nicho de aplicação onde esta tecnologia é mais aplicável. Este trabalho apresenta uma avaliação de desempenho da tecnologia BLE em cenários de transmissão de dados e estabelecimento de conexão. As métricas vazão máxima, atraso fim-a-fim, atraso ida-e-volta (Round-Trip Time - RTT) e latência de estabelecimento de conexão são avaliadas através de experimentos. Este trabalho também investiga como alguns fatores, como intervalo de conexão, encriptação de link e tamanho de pacote, impactam nas métricas avaliadas. Por fim, este trabalho apresenta modelos analíticos para as métricas investigadas.
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Gustafsson, Viktor, and Calle Waller. "Usage of Bluetooth Low Energy for Weather Measurements." Thesis, Linköpings universitet, Datorteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151579.

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For every year the importance of lowering energy consumptionof our devices gets more important. Wireless devicesget smaller which leads to the fact that they need smallerbatteries than earlier versions. At the same time the customersstill have high requirements on the battery time. So what followsis that new technologies are needed to meet the customerrequirements by lowering the energy consumption for the devicesto maintain the same battery time as earlier.Today it is very common that these wireless devices makesuse of the wireless Bluetooth protocol in order to communicatewith other devices, for example with a mobile application.Bluetooth is in many cases more energy consuming thannecessary. In this report the wireless Bluetooth Low Energyprotocol will be tested and evaluated to see if the energy consumptionof a battery driven ground station for weather measurementscan be reduced.
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Bjarnason, Jonathan. "Evaluation of Bluetooth Low Energy in Agriculture Environments." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20250.

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The Internet of Things (IoT) is an umbrella term for smart things connected to the Internet.Precision agriculture is a related concept where connected sensors can be used to facilitate, e.g. more effective farming. At the same time, Bluetooth has been making advancements into IoT with the release of Bluetooth Low Energy (BLE) or Bluetooth smart as it is also known by. This thesis describes the development of a Bluetooth Low Energy moisture- and temperature sensor intended for use in an agricultural wireless sensor network system. The sensor was evaluated based on its effectiveness in agricultural environments and conditions such as weather, elevation and in different crop fields. Bluetooth Low Energy was chosen as the technology for communication by the supervising company due to its inherent support for mobile phone accessibility.Field tests showed that the sensor nodes were largely affected by greenery positioned betweentransmitter and receiver, meaning that these would preferably be placed above growing crops foreffective communication. With ideal placement of the sensor and receiving unit, the signal wouldreach up to 100 m, meaning that a receiving unit would cover a circle area with radius 100 m.Due to Bluetooth being largely integrated in mobile devices it would mean that sensor data couldeasily be made accessible with a mobile app, rather than acquiring data from an online web server.
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An, Zhigang. "A Bluetooth Low Energy Indoor Object Positioning System." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1491596337908227.

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Books on the topic "Bluetooth low energy"

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Inside Bluetooth Low Energy. Boston: Artech House, 2013.

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Aftab, Muhammad Usama bin. Building Bluetooth Low Energy Systems. Packt Publishing, 2017.

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Heydon, Robin. Bluetooth Low Energy: The Developer's Handbook. Pearson Education Canada, 2012.

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Bhargava, Madhur. IoT Projects with Bluetooth Low Energy. Packt Publishing, Limited, 2017.

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Inside Bluetooth Low Energy, Second Edition. Artech House, 2016.

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Lee, Jade. RN4020 - Bluetooth® Low Energy Module. Microchip Technology Incorporated, 2004.

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Ferrigan, Kelly. Bluetooth® Low Energy (BLE) SoC. Microchip Technology Incorporated, 2020.

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Bluetooth Low Energy The Developers Handbook. Prentice Hall, 2012.

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Heydon, Robin. Bluetooth Low Energy: The Developer's Handbook. Pearson Education Canada, 2012.

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Lozano, Grace. RN4020 Bluetooth Low Energy Module Data Sheet. Microchip Technology Incorporated, 2014.

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Book chapters on the topic "Bluetooth low energy"

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Kurniawan, Agus. "Bluetooth Low Energy." In IoT Projects with Arduino Nano 33 BLE Sense, 111–36. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6458-4_4.

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Hoddie, Peter, and Lizzie Prader. "Bluetooth Low Energy (BLE)." In IoT Development for ESP32 and ESP8266 with JavaScript, 185–220. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5070-9_4.

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Kurniawan, Agus. "Bluetooth Low Energy (BLE)." In Beginning Arduino Nano 33 IoT, 157–81. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6446-1_6.

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Naik, Akhilesh G., Sonia Kuwelkar, and Vijay Magdum. "Energy and Current Consumption Analysis for Classic Bluetooth and Bluetooth Low Energy (BLE)." In Emerging Research in Computing, Information, Communication and Applications, 87–95. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2550-8_9.

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Gomes, Ana, André Pinto, Christophe Soares, José M. Torres, Pedro Sobral, and Rui S. Moreira. "Indoor Location Using Bluetooth Low Energy Beacons." In Advances in Intelligent Systems and Computing, 565–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77712-2_53.

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Zhang, Yue, Jian Weng, Rajib Dey, and Xinwen Fu. "Bluetooth Low Energy (BLE) Security and Privacy." In Encyclopedia of Wireless Networks, 123–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_298.

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Conti, Massimo. "Real Time Localization Using Bluetooth Low Energy." In Bioinformatics and Biomedical Engineering, 584–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56154-7_52.

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Zhang, Yue, Jian Weng, Rajib Dey, and Xinwen Fu. "Bluetooth Low Energy (BLE) Security and Privacy." In Encyclopedia of Wireless Networks, 1–12. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-32903-1_298-1.

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Venkata Bhaskara Sastry, T., and P. P. Amritha. "Bluetooth Low Energy Devices: Attacks and Mitigations." In Lecture Notes in Electrical Engineering, 381–89. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9019-1_34.

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Bansal, Malti, and Jyoti. "Utilizing CMOS Low-Noise Amplifier for Bluetooth Low Energy Applications." In Advances in Intelligent Systems and Computing, 239–51. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1822-1_22.

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Conference papers on the topic "Bluetooth low energy"

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Majima, Hideaki. "Low-power SoC design techniques for Bluetooth/Bluetooth Low Energy." In 2015 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT). IEEE, 2015. http://dx.doi.org/10.1109/rfit.2015.7377870.

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Nilsson, Daniel, and Wenqing Yan. "Identifying Bluetooth Low Energy Devices." In SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3485730.3492880.

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Magdy, Ahmed, Sameh Ibrahim, A. H. Khalil, and Hassan Mostafa. "Low Power, Dual Mode Bluetooth 5.1/Bluetooth Low Energy Receiver Design." In 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2021. http://dx.doi.org/10.1109/iscas51556.2021.9401748.

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Hangil Moon, Namsuk Lee, Hyunwook Kim, and Sanghoon Lee. "Low latency audio coder design for bluetooth and bluetooth low energy." In 2015 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2015. http://dx.doi.org/10.1109/icce.2015.7066354.

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Pipino, Alessandra, Antonio Liscidini, Karen Wan, and Andrea Baschirotto. "Bluetooth low energy receiver system design." In 2015 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2015. http://dx.doi.org/10.1109/iscas.2015.7168671.

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Mouris, Boules A., Wael Elshennawy, Panagiotis Petridis, Yuan Ding, and Spyridon N. Daskalakis. "Rectenna for Bluetooth Low Energy Applications." In 2019 IEEE Wireless Power Transfer Conference (WPTC). IEEE, 2019. http://dx.doi.org/10.1109/wptc45513.2019.9055609.

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Willingham, Thomas, Cody Henderson, Blair Kiel, Md Shariful Haque, and Travis Atkison. "Testing vulnerabilities in bluetooth low energy." In ACM SE '18: Southeast Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3190645.3190693.

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Muddinagiri, Ruchika, Shubham Ambavane, Vivek Jadhav, and Santosh Tamboli. "Proximity Marketing Using Bluetooth Low Energy." In 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2020. http://dx.doi.org/10.1109/icaccs48705.2020.9074160.

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Furst, Jonathan, Kaifei Chen, Hyung-Sin Kim, and Philippe Bonnet. "Evaluating Bluetooth Low Energy for IoT." In 2018 IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench). IEEE, 2018. http://dx.doi.org/10.1109/cpsbench.2018.00007.

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Jara, Antonio J., Yann Bocchi, and Dominique Genoud. "Mobility management in bluetooth low energy." In 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC). IEEE, 2014. http://dx.doi.org/10.1109/ccnc.2014.6940529.

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Reports on the topic "Bluetooth low energy"

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Nieminen, J., T. Savolainen, M. Isomaki, B. Patil, Z. Shelby, and C. Gomez. IPv6 over BLUETOOTH(R) Low Energy. RFC Editor, October 2015. http://dx.doi.org/10.17487/rfc7668.

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Moayeri, Nader. On the Feasibility of COVID-19 Proximity Detection Using Bluetooth Low Energy Signals. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.ir.8437.

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Gomez, C., S. M. Darroudi, T. Savolainen, and M. Spoerk. IPv6 Mesh over BLUETOOTH(R) Low Energy Using the Internet Protocol Support Profile (IPSP). RFC Editor, December 2021. http://dx.doi.org/10.17487/rfc9159.

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