TSOIA: An efficient node selection algorithm facing the uncertain process for Internet of Things

Luo, Shiliang; Cheng, Lianglun

doi:10.1016/j.jnca.2012.12.015

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…It is expected that the potential number of objects to be connected to the Internet rises to 100,000 billion! (Castillo-Secilla, Aranda, Outeiriño, & Olivares, 2010; Directorate-General for Communications Networks, 2013; European Commission, 2013; Luo, Lu, & Cheng, 2013;Sundmaeker et al, 2010).…”

Section: Ubiquitous Communication and Network Technologymentioning

confidence: 99%

“…This implies that no conventional hardware platform will be sufficient to support the whole design space. Complex and scalable hardware systems will be a regular requirement for efficient IoT development (Directorate-General for Communications Networks, 2013; ITU Internet Reports, 2005; ITU-T Technology Watch Report, 2008;Jara et al, 2014;Lara et al, 2013;Luo et al, 2013;Sundmaeker et al, 2010).…”

Section: Hardware Technologymentioning

confidence: 99%

“…IoT requires a high-performance database software-platform that enables the management and utilization of huge amounts of data for interaction between things, and between things and humans with different connectivity. Such a technology solution should take into account different parameters, such as massive-distributed networks, embedded software platforms that use advanced-dedicated algorithms and development of novel models of interactions (Directorate-General for Communications Networks, 2013; ITU-T Technology Watch Report, 2008;Luo et al, 2013;Sundmaeker et al, 2010).…”

Section: Software Technology and Algorithmsmentioning

confidence: 99%

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Convergence of Internet of things and mobile cloud computing

Psannis

Xinogalos

Sifaleras

2014

Systems Science & Control Engineering

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As an integral element of future Internet, Internet of things (IoT) could be described as a real-world interaction with everything connected via intelligent network infrastructure and advanced communication technologies. Mobile cloud computing (MCC), on the other hand, offers an infrastructure wherein both data storage and data processing take place outside of the mobile device. As a more mature infrastructure, MCC offers several advantages, while the relatively new IoT has several limitations. In this paper, we present a survey of IoT limitations and MCC advantages. Specifically, we present the most advantageous aspects of MCC and how they alleviate the limitations of IoT. Furthermore, we discuss several IoT-enabled business services to highlight the benefits of converging IoT and MCC.

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Section: Ubiquitous Communication and Network Technologymentioning

confidence: 99%

Section: Hardware Technologymentioning

confidence: 99%

Section: Software Technology and Algorithmsmentioning

confidence: 99%

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Convergence of Internet of things and mobile cloud computing

Psannis

Xinogalos

Sifaleras

2014

Systems Science & Control Engineering

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“…Luo et al 28 proposed an algorithm known as TSOIA, which divides perception nodes into three groups to search the IoT for global optimal solutions. The IoT is a technological revolution in advanced computing with networked smart devices and digital objects 29 .…”

Section: Introductionmentioning

confidence: 99%

Iot-Enabled Knowledge Sharing-Based Collaborative Software Maintenance Design Approach

Chen

Fangtsou

2015

ijecs

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Modifying corrective programming code according to requirements modifications so that the modifications work with existing code is a challenge for software maintenance design, because it is difficult to understand the meaning of existing code. This refers to both software specifications and business implications associated with modifying a software system. The lack of a knowledge-based collaborative environment is one of the prominent problems in software maintenance design. This paper presents the IoT-enabled knowledge sharing architecture using combination and internalization for collaborative software maintenance design to derive a collaborative software design procedure from the problem-solving systematic methods TRIZ, AHP and Maturity Index on Reliability (MIR). Next, we illustrate three elements of the proposed approach in more detail: combination using MIR, collaborative tagging decision-making using AHP, and internalization of problem-solving using TRIZ. Finally, a case study and evaluation are presented to demonstrate a practical application of the proposed approach.

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“…The integration of cloud computing and Internet of Things would be a great breakthrough in modern medical application [11,12]. Because cloud computing has its advantages in large scale, high reliability, virtualization, high efficiency and expansibility, the construction of public cloud in hospitals and patients can promote resources sharing, cost saving and construct medical monitoring and managing systems with high efficiency [13][14][15]. The Internet of Things, as an important support for realizing safe, high-efficiency and high-quality medical monitoring and management, its main techniques such as RFID and photo acoustic electromagnetic sensors, can make great breakthroughs on medical information transmission, intelligent medical monitoring and precise location [16,17].…”

Section: Introductionmentioning

confidence: 99%

Medical Monitoring and Managing Application of the Information Service Cloud System Based on Internet of Things

Luo

Cheng

Ren

2014

JSW

Self Cite

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Cloud computing and the Internet of Things are the two hot points in the internet application field. The application of the two new technologies is in hot discussion and research, but quite less on the field of medical monitoring and managing service application. Thus, in this paper, we study and analyze the application of cloud computing and the Internet of Things on the biomedical field. And we manage to make a combination of the two techniques in the hospital monitoring and managing information system. The model architecture for remote monitoring cloud platform of healthcare information (RMCPHI) was established firstly. Then the RMCPHI architecture was analyzed. Finally an efficient PSOSAA algorithm was proposed for the medical monitoring and managing application of the hospital information service cloud system. Simulation results showed that the proposed algorithm outperforms the simulated anneanling algorithm and the ant colony optimization algorithm and our proposed scheme can improve the efficiency about 50%.

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TSOIA: An efficient node selection algorithm facing the uncertain process for Internet of Things

Cited by 8 publications

References 20 publications

Convergence of Internet of things and mobile cloud computing

Convergence of Internet of things and mobile cloud computing

Iot-Enabled Knowledge Sharing-Based Collaborative Software Maintenance Design Approach

Medical Monitoring and Managing Application of the Information Service Cloud System Based on Internet of Things

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