Energy efficient context aware traffic scheduling for IoT applications

Afzal, Bilal; Alvi, Sheeraz A.; Shah, Ghalib A.; Mahmood, Waqar

doi:10.1016/j.adhoc.2017.05.001

Cited by 49 publications

(19 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are many technologies encompassing the IoT application possibilities, such as radio frequency identification (Atzori et al , 2010), smart sensors (Borgia, 2014), mobile devices (Pacheco et al , 2016) and wireless sensor networks (Gubbi et al , 2013). The adoption of such technologies is snowballing in many sectors, such as agriculture (Lu et al , 2010), smart cities (Hashem et al , 2016), manufacture (Rymaszewska et al , 2017), healthcare (Farahani et al , 2018), transportation (Afzal et al , 2017) and so on.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Building blocks for the development of an IoT business model

Almeida

Avalone

Fettermann

2019

JSMA

View full text Add to dashboard Cite

Purpose Previous studies have identified a variety of Internet of Things (IoT) business models and have recognised the complexity related to the application of IoT technologies in business, along with the potential of the modularity concept application in organisational design. The purpose of this paper is to identify the main building blocks for the development of a business model canvas for companies that adopt the IoT in their business. Design/methodology/approach First, the authors carried a systematic literature review to identify theoretical, experimental and practical IoT business model canvas recorded in the literature. Then, the authors identified and analysed the characteristics of the building blocks present in these canvas using a statistical cluster technique. Based on the outcomes, the authors proposed a framework with standard and optional modules to allow flexible arrangements and suit different IoT business goals. Findings The results revealed that the IoT business model canvas recorded in the literature had been grossly designed to attend two drivers: manufacture and service organisations. Therefore, based on the frequency of building blocks present in IoT business model canvas recorded in the literature, it has been proposed two flexible frameworks which can be tailored to accommodate the immense variety of possibilities offered by IoT technologies in manufacture and service business. Practical implications The business model frameworks proposed in this research can support entrepreneurs structuring new IoT businesses or upgrading existing businesses. Originality/value This research offers a comprehensive IoT business model framework with their respective building blocks built from an extensive literature review.

show abstract

Section: Theoretical Backgroundmentioning

confidence: 99%

Building blocks for the development of an IoT business model

Almeida

Avalone

Fettermann

2019

JSMA

View full text Add to dashboard Cite

show abstract

“…In recent times, most of the research has been carried out to reduce the consumption of the energy and prolongs the network lifetime. Different authors and researchers proposed the solution such as clustering, routing, scheduling and many more to the above‐stated problem to improve the energy efficiency of IoT based WSN. In this paper, some novel contributions are proposed.…”

Section: Introductionmentioning

confidence: 99%

Load balanced fuzzy‐based unequal clustering for wireless sensor networks assisted Internet of Things

Agrawal

Pandey

2020

Engineering Reports

View full text Add to dashboard Cite

The fundamental unit of the Internet of Things (IoT) is wireless sensor networks (WSNs). Due to their low cost and prospective use, WSNs have drawn interest in various applications over the last years. Since sensor nodes are equipped with limited battery, it is vital energy consumption be carefully monitored. Therefore, minimizing the node energy consumption is clearly essential to extend the network lifetime. In this paper, a fuzzy‐based unequal clustering protocol is proposed. Not only does the proposed protocol prolong the network lifetime, but it also balances the load among nodes. Former protocols do not consider load balancing. Fuzzy logic is employed considering four inputs: residual energy, distance to a base station, node degree and centrality. To validate its efficiency, the novel protocol is compared with other relevant protocols. The obtained results prove that the protocol here proposed outperforms other state‐of‐the‐art protocols.

show abstract

“…Son varias las tecnologías que involucran posibilidades de aplicación de IoT, tales como Radio Frequency Identification [2], sensores inteligentes [3], dispositivos móviles [4] e Wireless Sensor Networks [5]. La incorporación de estas tecnologías está creciendo en distintos sectores, tanto como la agricultura [6], en sistemas producto-servicio [7], ciudades inteligentes [8], manufactura [9], salud [10], transporte [11], entre otros. Es posible identificar que la cantidad de investigación que aborda el tema de IoT está aumentando y ha sido uno de los principales temas discutidos tanto en los sectores empresariales como en el ambiente académico [12].…”

Section: Introductionunclassified