IoTtalk: A Management Platform for Reconfigurable Sensor Devices

Lin, Yi‐Bing; Huang, Chun-Ming; Chih, Chang-Yen; Lin, Phone

doi:10.1109/jiot.2017.2682100

Cited by 79 publications

(52 citation statements)

References 8 publications

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“…II. IOTTALK IoTtalk [6] is an application-layer IoT device management platform that provides connectivity between various devices including a broad range of environmental sensors, home appliances, vehicle trackers, mobile phones, etc. IoTtalk allows users to configure data interaction among devices to define new applications quickly and without knowledge of low-level network protocols such as BlueTooth or ZigBee etc.…”

Section: ) We Develop a Bigraph Model For Iottalk Applicationsmentioning

confidence: 99%

“…Unfortunately, creating IoT applications can be difficult, often relying on detailed knowledge of low-level communication protocols [3]. Device integration and management systems [4]- [6] abstract over low-level protocols and are essential to allow both novice and advanced users to benefit from the increasing availability of IoT hardware. Several IoT solutions have been used to implement smart applications for a range of domains including home automation [7], agriculture [8], aquarium management [9], smart campuses [10], entertainment [11], art [12], and more.…”

Section: Introductionmentioning

confidence: 99%

“…the data flow between IoT devices. For example, the IoTtalk [6] graphical user interface (GUI) describes the relationship between sensors and actuators graphically, allowing simple data transfer and transforms to occur. This approach is similar to other modeldriven engineering methods that allow structural aspects of applications to be described [13].…”

Section: Introductionmentioning

confidence: 99%

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BigraphTalk: Verified Design of IoT Applications

Archibald

Shieh

et al. 2020

IEEE Internet Things J.

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Graphical IoT device management platforms, such as IoTtalk, make it easy to describe interactions between IoT devices. Applications are defined by dragging-and-dropping devices and specifying how they are connected, e.g. a door sensor controlling a light. While this allows simple and rapid development, it remains possible to specify unwanted device configurations -such as using the same device to drive a motor up and down simultaneously, risking damaging the motor.We propose BigraphTalk, a verification framework for IoTtalk that utilizes formal techniques, based on bigraphs, to statically guarantee that unwanted configurations do not arise. In particular, we check for invalid connections between devices, as well as type errors, e.g. passing a float to a boolean switch. To the best of our knowledge, BigraphTalk is the first platform to support the graphical specification of correct-by-design IoT applications.BigraphTalk provides fully automated verification and feedback without end-users ever needing to specify a bigraph. This means any application, specifiable in IoTtalk, is guaranteed, so long as verification succeeds, not to violate the given configuration constraints when deployed; with no extra cost to the user.

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Section: ) We Develop a Bigraph Model For Iottalk Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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BigraphTalk: Verified Design of IoT Applications

Archibald

Shieh

et al. 2020

IEEE Internet Things J.

Self Cite

View full text Add to dashboard Cite

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“…To promote IoT applications on campus, National Chiao Tung University (NCTU) is deploying several smart campus applications. These applications are created based on IoTtalk [1,2,3,4], an IoT application management platform that can be installed on top of IoT protocols such as AllJoyn [5], OM2M [6], OpenMTC [7], and an arbitrary proprietary protocol.…”

Section: Introductionmentioning

confidence: 99%

The SDN Approach for the Aggregation/Disaggregation of Sensor Data

Lin

Wang

Huang

et al. 2018

Sensors

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In many Internet of Things (IoT) applications, large numbers of small sensor data are delivered in the network, which may cause heavy traffics. To reduce the number of messages delivered from the sensor devices to the IoT server, a promising approach is to aggregate several small IoT messages into a large packet before they are delivered through the network. When the packets arrive at the destination, they are disaggregated into the original IoT messages. In the existing solutions, packet aggregation/disaggregation is performed by software at the server, which results in long delays and low throughputs. To resolve the above issue, this paper utilizes the programmable Software Defined Networking (SDN) switch to program quick packet aggregation and disaggregation. Specifically, we consider the Programming Protocol-Independent Packet Processor (P4) technology. We design and develop novel P4 programs for aggregation and disaggregation in commercial P4 switches. Our study indicates that packet aggregation can be achieved in a P4 switch with its line rate (without extra packet processing cost). On the other hand, to disaggregate a packet that combines N IoT messages, the processing time is about the same as processing N individual IoT messages. Our implementation conducts IoT message aggregation at the highest bit rate (100 Gbps) that has not been found in the literature. We further propose to provide a small buffer in the P4 switch to significantly reduce the processing power for disaggregating a packet.

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“…Thanks to the development of mobile communication and positioning technologies [1]- [3] in the past several decades, remote health monitoring technology is near to practical application in our everyday life. ECG signal is one of the main tools of diagnosing cardiovascular diseases which are the major mortality causes in current societies, especially in developed countries.…”

Section: Introductionmentioning

confidence: 99%

Study on a Low-Complexity ECG Compression Scheme With Two-Tier Sensors

Huang

2018

IEEE Trans. VLSI Syst.

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The industry of wearable remote health monitoring system keeps growing. In the diagnosis of cardiovascular disease, Electrocardiography (ECG) waveform is one of the major tools which is thus widely taken as the monitoring objective. For the purpose of reducing bit expenditure in the monitoring systems, we study the compression of ECG signal and propose a new compressor in low complexity. Different from the traditional ECG compressors, most of which are built on a single sensor, our compression scheme is based on multiple ECG sensors. The multi-sensor based compression scheme is able to provide more accurate sensing results. Besides the investigation into the structure of the compressor, we also jointly optimize the period and the bit number per sample in the transmission of ECG signal. Experiments are performed on records in MIT-BIH Arrhythmis database and European ST-T database. Experimental results show that our method outperforms conventional ones with respect to ECG reconstruction accuracy at the same bit rate consumption.

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IoTtalk: A Management Platform for Reconfigurable Sensor Devices

Cited by 79 publications

References 8 publications

BigraphTalk: Verified Design of IoT Applications

BigraphTalk: Verified Design of IoT Applications

The SDN Approach for the Aggregation/Disaggregation of Sensor Data

Study on a Low-Complexity ECG Compression Scheme With Two-Tier Sensors

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