A location-based interactive model for Internet of Things and cloud (IoT-cloud)
05 Jul 2016-pp 444-447
TL;DR: Through extensive analysis results, it is shown that the model scheme achieve a significant improvement compared to traditional wireless sensor networks (WSNs).
Abstract: This paper presents a location-based interactive model for Internet of Things (IoT) and cloud integration (IoT-cloud). In the model, IoT-cloud provides sensing service on demand based on interest and location of mobile users. Cloud plays a role as a virtual sink which makes schedule for physical sensor networks on-demand based on locations of mobile users. Through extensive analysis results, we show that the model scheme achieve a significant improvement compared to traditional wireless sensor networks (WSNs).
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TL;DR: A recent extensive analysis of localization techniques and hierarchical taxonomy and their applications in the different context is presented and this taxonomy of the localization technique is classified based on presence of offline training in localization, namely self-determining and training dependent approaches.
Abstract: Internet of Things (IoT) is a novel design paradigm, intended as a network of billions to trillions of tiny sensors communicating with each other to offer innovative solutions to real time problems. These sensors form a network named as wireless sensor networks (WSNs) to monitor physical environment and disseminate collected data back to the base station through multiple hops. WSN has the capability to collect and report data for a specific application. The location information plays an important role for various wireless sensor network applications. A majority of the applications are related to location-based services. The development of sensor technology, processing techniques, and communication systems give rise to a development of the smart sensor for the adaptive and innovative application. So a single localization technique is not adequate for all application. In this paper, a recent extensive analysis of localization techniques and hierarchical taxonomy and their applications in the different context is presented. This taxonomy of the localization technique is classified based on presence of offline training in localization, namely self-determining and training dependent approaches. Finally, various open research issues related to localization schemes for IoT are compared and various directions for future research are proposed.
156 citations
Cites methods from "A location-based interactive model ..."
...The architecture of location based interactive model of IoT infrastructure [38], [39] is presented in Fig....
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TL;DR: A location-based interactive model of Internet of Things and cloud integration for mobile cloud computing applications, in comparison with the periodic sensing model, which achieves a significant improvement in terms of network lifetime compared to the periodic model.
Abstract: This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required to report their sensing data periodically regardless of whether or not there are demands for their sensing services. This leads to unnecessary energy loss due to redundant transmission. In the proposed model, IoT-cloud provides sensing services on demand based on interest and location of mobile users. By taking advantages of the cloud as a coordinator, sensing scheduling of sensors is controlled by the cloud, which knows when and where mobile users request for sensing services. Therefore, when there is no demand, sensors are put into an inactive mode to save energy. Through extensive analysis and experimental results, we show that the location-based model achieves a significant improvement in terms of network lifetime compared to the periodic model.
51 citations
01 Jan 2019
TL;DR: Realizing the worth of big data in internet of things (IoT), this contribution gives instances of M2M messaging mechanism, cloud-based embedded computing, mobile computing, and cellular networking technologies in alliance with IoT devices, sensors, gadgets, etc.
Abstract: In the age of information superhighway, internet of things (IoT) is a hotly debated subject. The difference between ancient era and current time is the very lager digital communications among the people in whole world. The entire universe is moving towards digitalization and the key framework is the internet and connecting devices. The devices that are connected with internet are called internet of things. So, the impacts and influences of IoT are very significant in current computational analysis and dealings. Realizing the worth of big data in internet of things (IoT), this contribution gives instances of M2M messaging mechanism, cloud-based embedded computing, mobile computing, and cellular networking technologies in alliance with IoT devices, sensors, gadgets, etc., location spoofing detection for IoT, clustering tools for next generation, and details observation of methods, prospects, processing of big data which has a massive growth after the evolution of IoT. Finally, the concluding announcement interprets principal scheme of this work and future research directions in this field.
18 citations
01 Dec 2016
TL;DR: An architecture for an AV prototype within the IoT ecosystem is proposed; the intelligent Bus on Campus (iBuC), and the respective services are illustrated through a customised real-life scenario.
Abstract: Within the Internet of Things (IoT) ecosystem, there is a need to interconnect networks of sensors and smart objects in a way that they can intelligently interact with humans. In most cases, these networks have been implemented following the machine-to-machine (M2M) communication disciplines. To adequately design such an emerging system which also has legacy technology characteristics, it is crucial to adopt an architecture reference model. In the context of this work, an architecture and characteristics assessment is conducted to form a roadmap of evolution from an M2M solution to an IoT in the field of Autonomous Vehicles (AVs). Then, an architecture for an AV prototype within the IoT ecosystem is proposed; the intelligent Bus on Campus (iBuC). The respective services are illustrated through a customised real-life scenario.
16 citations
01 Jan 2019
TL;DR: This paper provides a state of the art on Internet of thing (IoT)-based smart city (SC) from platform, architecture, application domain, and technology perspectives, and concludes the relations between different technologies used in developing smart cities.
Abstract: Fast growing of cities, urban places, and population presents major challenges in our daily lives. Finding proper solution from different perspectives of cities became a concern by both researchers and industries concern. Smart city (SC) is the answer to overcome this issue. Internet of thing (IoT) is a crucial part of SC which has a tremendous impact on all the cities’ sectors such as governance, health care, education, environment, and transportation. This paper provides a state of the art on Internet of thing (IoT)-based smart city (SC) from platform, architecture, application domain, and technology perspectives, also it concludes the relations between different technologies used in developing smart cities. Challenges and future trends of SC based on IoT will be discussed. As this research conducts, the SC solution based on IoT still confronts many challenges and problems which required further researches.
8 citations
References
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23 Apr 2015
TL;DR: The need for integration of Cloud and Internet of Things, an agent-oriented and Cloud assisted on Cloud IoT paradigm which based upon the layered reference architecture is presented.
Abstract: The Next Revolution in the era of computing will be changing in comparison to traditional desktop. Many objects surrounds the human users will be on the network in one form or in another form in the Cloud Computing and Internet of Things framework. Cloud Computing and Internet of Things are two different technologies, these are into our daily life. Most of the surveys discussed the literature work on Internet of Things and Cloud separately. This paper presents the need for integration of Cloud and Internet of Things, an agent-oriented and Cloud assisted on Cloud IoT paradigm which based upon the layered reference architecture. Reference architecture for agent-oriented vision and Cloud-assisted is proposed, a Cloud based IoT paradigm applications scenario is described that have been presented in the literature, and Finally identified and discussed about open issues and future directions.
107 citations
"A location-based interactive model ..." refers background in this paper
...INTRODUCTION Recently, Integration of Internet of Things (IoT) with cloud (IoT-Cloud) recently receives a great interest from both academic and industry [1], [2]....
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TL;DR: A cloud framework is presented, called Cloud4Sens, that combines both the data-centric and device-centric models, enabling the end-user to choose which type of cloud service he needs.
Abstract: This article discusses two strategies for managing sensing resources in the cloud and providing them as a service. The first strategy follows the data-centric model, where the cloud offers environmental data to its clients as a service, without any knowledge of how data are measured and processed. The second strategy adopts the device-centric model, which enables the cloud clients to use a virtual sensing infrastructure that they can customize for specific purposes. They can access sensed data and customize one or more virtual devices. The article also presents a cloud framework, called Cloud4Sens, that combines both the data-centric and device-centric models, enabling the end-user to choose which type of cloud service he needs. The proposed solution was designed according to the Sensor Web Enablement (SWE) specifications defined by the Open Geospatial Consortium and exploits well known technologies, such as XMPP (Extensible Messaging and Presence Protocol) communications and X509 certificates.
64 citations
"A location-based interactive model ..." refers background in this paper
...INTRODUCTION Recently, Integration of Internet of Things (IoT) with cloud (IoT-Cloud) recently receives a great interest from both academic and industry [1], [2]....
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TL;DR: A decentralized WSAN virtualization model based on information fusion is proposed, termed Olympus, which seeks to leverage the CoS paradigm to make the best use of both the cloud and physical WSAN environments.
Abstract: The cloud of sensors (CoS) paradigm emerged from the broader concept of the cloud of things. CoS infrastructures are built on the concept of wireless sensor and actuator network (WSAN) virtualization and have the potential to leverage the benefits of both cloud computing and WSANs. However, WSAN virtualization is still in its infancy within the CoS paradigm. Existing approaches are centralized CoS infrastructures that consider smart sensors only as passive data providers, which don't take full advantage of these devices. The authors propose a decentralized WSAN virtualization model based on information fusion. The model, termed Olympus, seeks to leverage the CoS paradigm to make the best use of both the cloud and physical WSAN environments.
44 citations
"A location-based interactive model ..." refers background in this paper
...Virtual sensors obtain sensing data from underlying physical sensors and provide sensing data to one or multiple applications transparently [3]....
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TL;DR: A novel and practical wake-up time self-learning MAC (L-MAC) protocol in which the key idea is to reuse beacon messages of receiver-initiated MAC protocols to enable nodes to coordinate their wakeup time with their parent nodes without incurring extra communication overhead.
36 citations
"A location-based interactive model ..." refers background or methods in this paper
...In both cases, we assume WSNs operate in duty cycle mode using LPL protocol [4] and the base station is always on....
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...The detailed analysis can be found in [4]....
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