Modeling Neighbor Discovery in Bluetooth Low Energy Networks

Liu, Jia; Chen, Canfeng; Ma, Yan

doi:10.1109/lcomm.2012.073112.120877

Cited by 92 publications

(81 citation statements)

References 1 publication

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“…In [16] the authors analysed the network discovery process in BLE and estimated the average latency and the average energy consumption for it. In [17] and [18] the authors analysed and used the simulation tools to estimate the throughput and the latency for BLE communication.…”

Section: Blementioning

confidence: 99%

“…The throughput for master-slave unidirectional data transfer is given by , , = 0. .27 (16) where n denotes the payload of each frame transferred from the master to the slave (i.e., forward frame), m is the payload of the reply frame and 0.16 ms accounts for the time for transmitting the frame headers. Note that in real-life scenarios, strong interferences and losses can significantly decrease the BLE throughput.…”

Section: Maximum Throughput On Data Channelsmentioning

confidence: 99%

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Performance Analysis and Comparison of Bluetooth Low Energy with IEEE 802.15.4 and SimpliciTI

Mikhaylov

Plevritakis

Tervonen

2013

JSAN

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Bluetooth Low Energy (BLE) is a recently developed energy-efficient short-range wireless communication protocol. In this paper, we discuss and compare the maximum peer-to-peer throughput, the minimum frame turnaround time, and the energy consumption for three protocols, namely BLE, IEEE 802.15.4 and SimpliciTI. The specifics and the main contributions are the results both of the theoretical analysis and of the empirical measurements, which were executed using the commercially available hardware transceivers and software stacks. The presented results reveal the protocols' capabilities and enable one to estimate the feasibility of using these technologies for particular applications. Based on the presented results, we draw conclusions regarding the feasibility and the most suitable application scenarios of the BLE technology.

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Section: Blementioning

confidence: 99%

Section: Maximum Throughput On Data Channelsmentioning

confidence: 99%

Performance Analysis and Comparison of Bluetooth Low Energy with IEEE 802.15.4 and SimpliciTI

Mikhaylov

Plevritakis

Tervonen

2013

JSAN

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“…The implementation details and parameter values for the routing signaling phase are technology dependent; e.g., referring to WiFi Direct technology, points (ii) and (iii) include the required time and message exchange to perform IEEE 802.11 Channel Scanning, Channel Probing, Group Owner Negotiation and Address Configuration [21]; referring to Bluetooth Low Energy technology, points (ii) and (iii) include the Advertising and Scanning/Initiating phases [22], [23].…”

Section: Reference Scenariomentioning

confidence: 99%

Algorithms to Find Two-Hop Routing Policies in Multiclass Delay Tolerant Networks

Basilico

Cesana

Gatti

2016

IEEE Trans. Wireless Commun.

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Abstract-Most of the literature on delay tolerant networks (DTNs) focuses on optimal routing policies exploiting a priori knowledge about nodes mobility traces. For the case in which no a priori knowledge is available (very common in practice), apart from basic epidemic routing, the main approaches focus on controlling two-hop routing policies. However, these latter results commonly employ fluid approximation techniques, which, in principle, do not provide any theoretical bound over the approximation ratio. In our work, we focus on the case without a priori mobility knowledge and we provide approximation algorithms with theoretical guarantees that can be applied to cases where the number of hops allowed in the routing process is arbitrary. Our approach is rather flexible allowing us to address heterogeneous mobility patterns and transmission technologies, to consider explicitly the signaling and transmission costs, and to include also nodes discarding packets after a local timeout. We then provide a comprehensive performance evaluation of our algorithms, showing that two-hop routing provides the best tradeoff between delay and energy and that, in this case, they find solutions very close to the optimal ones with a low overhead. Finally, we compare our methods against some state-of-the-art approaches by means of a DTN simulation environment in realistic settings.

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“…Bluetooth or IEEE 802.15.1 is a standard intended to be a secured and cheap way of connecting and transferring data amongst supported devices, creating a PAN. At present, many versions of Bluetooth are available such as Bluetooth Low Energy (BLE), which is a short-range wireless transmission technology targeting low complexity, low-cost, communication in wireless BAN by utilizing frequency radio bands from 2.4 to 2.485 GHz [68]. Table 1 shows in detail the wireless networking protocols supported on IEEE Standards.…”

Section: Based On Ieee Standardsmentioning

confidence: 99%

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

et al. 2015

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Abstract:The paper discusses Home Area Networks (HAN) communication technologies for smart home and domestic application integration. The work is initiated by identifying the application areas that can benefit from this integration. A broad and inclusive home communication interface is analysed utilizing as a key piece a Gateway based on machine-to-machine (M2M) communications that interacts with the surrounding environment. Then, the main wireless networks are thoroughly assessed, and later, their suitability to the requirements of HAN considering the application area is analysed. Finally, a qualitative analysis is portrayed.

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Modeling Neighbor Discovery in Bluetooth Low Energy Networks

Cited by 92 publications

References 1 publication

Performance Analysis and Comparison of Bluetooth Low Energy with IEEE 802.15.4 and SimpliciTI

Performance Analysis and Comparison of Bluetooth Low Energy with IEEE 802.15.4 and SimpliciTI

Algorithms to Find Two-Hop Routing Policies in Multiclass Delay Tolerant Networks

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

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