EasyConnect: A Management System for IoT Devices and Its Applications for Interactive Design and Art

Lin, Yi‐Bing; Chih, Chang-Yen; Li, Tzu-Yi; Tai, Chia-Chun; Wang, Yung-Ching; Lin, Fuchun Joseph; Kuo, Hsien-Chung; Huang, Chun‐Wei; Hsu, Sheng-Chieh

doi:10.1109/jiot.2015.2423286

Cited by 66 publications

(20 citation statements)

References 7 publications

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“…The characteristics of the adopted methodology are used to generate the device feature modules which are created with fewer difficulties coding the design in the scripting language Python. Since in this language the execution is permitted without any compilation the ease of implementation is added to system design [14].…”

Section: Fig 6: Easy Connect Systemmentioning

confidence: 99%

Review of Research Approaches for Securing Communication in Internet of Things

Shamshekhar¹,

R.²

2018

CAE

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With the advent of Internet-of-Things (IoT), the communication has become very much ubiquitous with a faster response by supporting pervasive application demands. However, its resistivity towards adversary is still flawed with its existing security techniques. Owing to the novel nature of IoT, there have been various initiating attempts to introduce secure communication schemes for offering better security features to a diverse range of applications in IoT. This paper contributes to discuss existing research trend towards secure communication among the devices in IoT. The discussion present in the paper is anticipated to assists a snapshot of existing methods and approaches to research-based techniques in IoT.

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Section: Fig 6: Easy Connect Systemmentioning

confidence: 99%

Review of Research Approaches for Securing Communication in Internet of Things

Shamshekhar¹,

R.²

2018

CAE

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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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“…The new domains, including intelligent transportation systems, smart cities, smart homes, smart industries, autonomous vehicle, smart healthcare are but a few examples of this revolution [3,4]. Some other prominent IoT application domains include automated security devices such as alarms and surveillance systems, automated grids used in industrial metering, vehicular telematics as support for navigation and fleet management, remote maintenance as in vending machine control and industrial automation, and manufacturing control as in production chain monitoring [5,6]. The integration of IoT in almost every aspect of human lives is due to the focus of inventions towards a greener and smarter world for sustainability reasons [7].…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

Kumar

Kaiwartya

et al. 2017

Energies

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Abstract:Energy efficiency is a significant characteristic of battery-run devices such as sensors, RFID and mobile phones. In the present scenario, this is the most prominent requirement that must be served while introducing a communication protocol for an IoT environment. IoT network success and performance enhancement depend heavily on optimization of energy consumption that enhance the lifetime of IoT nodes and the network. In this context, this paper presents a comprehensive review on energy efficiency techniques used in IoT environments. The techniques proposed by researchers have been categorized based on five different layers of the energy architecture of IoT. These five layers are named as sensing, local processing and storage, network/communication, cloud processing and storage, and application. Specifically, the significance of energy efficiency in IoT environments is highlighted. A taxonomy is presented for the classification of related literature on energy efficient techniques in IoT environments. Following the taxonomy, a critical review of literature is performed focusing on major functional models, strengths and weaknesses. Open research challenges related to energy efficiency in IoT are identified as future research directions in the area. The survey should benefit IoT industry practitioners and researchers, in terms of augmenting the understanding of energy efficiency and its IoT-related trends and issues.

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EasyConnect: A Management System for IoT Devices and Its Applications for Interactive Design and Art

Cited by 66 publications

References 7 publications

Review of Research Approaches for Securing Communication in Internet of Things

Review of Research Approaches for Securing Communication in Internet of Things

The SDN Approach for the Aggregation/Disaggregation of Sensor Data

Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

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