Prem Prakash Jayaraman

TL;DR: This survey will help the industry and research community synthesize and identify the requirements for Fog computing and present some open issues, which will determine the future research direction for the Fog computing paradigm.

TL;DR: The main aim of this paper is to identify open challenges associated with energy efficient resource allocation and outline the problem and existing hardware and software-based techniques available for this purpose based on the energy-efficient research dimension taxonomy.

TL;DR: The design of SmartFarmNet is presented, an IoT-based platform that can automate the collection of environmental, soil, fertilisation, and irrigation data; automatically correlate such data and filter-out invalid data from the perspective of assessing crop performance; and compute crop forecasts and personalised crop recommendations for any particular farm.

Abstract: Despite the proliferation of Internet-of-Things (IoT) platforms for building and deploying IoT applications in the cloud, there is still no easy way to integrate heterogeneous geographically and administratively dispersed sensors and IoT services in a semantically interoperable fashion. In this paper we provide an overview of the OpenIoT project, which has developed and provided a first-of-kind open source IoT platform enabling the semantic interoperability of IoT services in the cloud. At the heart of OpenIoT lies the W3C Semantic Sensor Networks (SSN) ontology, which provides a common standards-based model for representing physical and virtual sensors. OpenIoT includes also sensor middleware that eases the collection of data from virtually any sensor, while at the same time ensuring their proper semantic annotation. Furthermore, it offers a wide range of visual tools that enable the development and deployment of IoT applications with almost zero programming. Another key feature of OpenIoT is its ability to handle mobile sensors, thereby enabling the emerging wave of mobile crowd sensing applications. OpenIoT is currently supported by an active community of IoT researchers, while being extensively used for the development of IoT applications in areas where semantic interoperability is a major concern.

TL;DR: The manufacturing industry is exploring the use of Internet of Things and cloud computing to enhance the efficiency of manufacturing plant operations, improve product quality, increase manufacturers' ability to respond to changing customer demands, and expand to new markets.