In-home data acquisition and control system based on BLE

Chen, Aihou; Gil-de-Castro, Aurora; García, Emilio José; Flores-Arias, J.M.; Bellido-Outeiriño, F.J.

doi:10.1109/isce.2015.7177780

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…Bluetooth low energy (BLE) among Bluetooth versions is one of the most widely used WNTs for local communication. To achieve low energy consumption, it operates in sleep mode most of time, but can transmit data up to 150 m in open fields by increasing the power consumption [27]. The assessment of the feasibility of BLE in VANETS was performed in [28].…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Network Architecture for Non-Safety Applications in Urban Vehicular Ad-Hoc Networks

Jeong

Baek

Son

2019

Sensors

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In the vehicular ad-hoc networks (VANETs), wireless access in vehicular environments (WAVE) as the core networking technology is suitable for supporting safety-critical applications, but it is difficult to guarantee its performance when transmitting non-safety data, especially high volumes of data, in a multi-hop manner. Therefore, to provide non-safety applications effectively and reliably for users, we propose a hybrid V2V communication system (HVCS) using hierarchical networking architecture: a centralized control model for the establishment of a fast connection and a local data propagation model for efficient and reliable transmissions. The centralized control model had the functionality of node discovery, local ad-hoc group (LAG) formation, a LAG owner (LAGO) determination, and LAG management. The local data propagation indicates that data are transmitted only within the LAG under the management of the LAGO. To support the end-to-end multi-hop transmission over V2V communication, vehicles outside the LAG employ the store and forward model. We designed three phases consisting of concise device discovery (CDD), concise provisioning (CP), and data transmission, so that the HVCS is highly efficient and robust on the hierarchical networking architecture. Under the centralized control, the phase of the CDD operates to improve connection establishment time, and the CP is to simplify operations required for security establishment. Our HVCS is implemented as a two-tier system using a traffic controller for centralized control using cellular networks and a smartphone for local data propagation over Wi-Fi Direct. The HVCS’ performance was evaluated using Veins, and compared with WAVE in terms of throughput, connectivity, and quality of service (QoS). The effectiveness of the centralized control was demonstrated in comparative experiments with Wi-Fi Direct. The connection establishment time measured was only 0.95 s for the HVCS. In the case of video streaming services through the HVCS, about 98% of the events could be played over 16 frames per second. The throughput for the streaming data was between 74% to 81% when the vehicle density was over 50%. We demonstrated that the proposed system has high throughput and satisfies the QoS of streaming services even though the end-to-end delay is a bit longer when compared to that of WAVE.

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Section: Related Workmentioning

confidence: 99%

Hierarchical Network Architecture for Non-Safety Applications in Urban Vehicular Ad-Hoc Networks

Jeong

Baek

Son

2019

Sensors

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“…It's just for indoor use only and find interference from sunrays [3]. In [8] BLE based complete system is implemented for data gathering and control system for home. System supports maximum 64 sensors and 8 different devices, also can measure signal with sample rate up to 8000S/s with less than 0.7% error and transfer up to 9000bits/s with less than 5% error.…”

Section: Bluetooth Based Techniques For Smart Buildingmentioning

confidence: 99%

A Survey on IOT Based Smart Building System

Barot¹

2018

IJRASET

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This document gives formatting instructions for authors preparing papers for publication in the Proceedings of an IEEE A smart building system is implemented to automate and remotely control the home appliances in cost effective manner by connecting various sensor nodes to the home appliances and sending the data to the Raspberry pi a pocket size computer and the cloud by forming wireless sensor network. Various techniques are available to establish the wireless sensor network. In this paper, we survey various WSN techniques in brief which are used to provide smart solution of the data. The collected data is used for analysis and calculate energy consumption of the smart system.

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“…In such IoT applications, low‐cost sensors are prone to fail due to battery exhaustion, environmental degradation, malfunction of external hazard, mechanical/electrical problem, or malfunction of different hardware components in the sensor nodes 6–9 . These faulty sensor nodes lead to increase data transmission latency and reduce the performance of the network 10–15 . An IoT‐based smart system always needs actionable insights at the required time that avoid further damage when an incident has occurred.…”

Section: Introductionmentioning

confidence: 99%

Green fault detection scheme for IoT‐enabled wireless sensor networks

Chanak

Banerjee

Bose

2020

Int J Communication

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SummaryWireless sensor network (WSN) is one of the major components for the Internet of Things (IoT)‐based smart systems that accumulate meaningful information and send them to the end‐user. In IoT‐enabled WSNs, large numbers of sensor nodes are deployed in an on‐site environment to collect and transmit different physical parameters from the monitoring environments to a central repository. However, low‐cost sensing devices in IoT‐enabled WSNs are prone to fail due to energy depletion, software failures, and hardware failures. The existing fault detection approaches consume notable additional energy to detect and overcome the failures. As a result, the whole network is subject to premature death. This article proposes a green fault detection scheme for IoT‐enabled WSNs to detect faulty nodes and solve the premature death problem of the network. Furthermore, a faulty node reuse mechanism is proposed that significantly prolongs the network lifetime. We analyze the properties of the proposed algorithm mathematically and validate its performance through extensive simulation and real‐life experiments. The simulation and experimental results show improved performance of the proposed scheme in terms of fault detection accuracy, false alarm rate, and network lifetime.

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In-home data acquisition and control system based on BLE

Cited by 10 publications

References 5 publications

Hierarchical Network Architecture for Non-Safety Applications in Urban Vehicular Ad-Hoc Networks

Hierarchical Network Architecture for Non-Safety Applications in Urban Vehicular Ad-Hoc Networks

A Survey on IOT Based Smart Building System

Green fault detection scheme for IoT‐enabled wireless sensor networks

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