A real-time kernel for wireless sensor networks employed in rescue scenarios

Will, Heiko; Schleiser, Kaspar; Schiller, Jochen

doi:10.1109/lcn.2009.5355049

Cited by 44 publications

(27 citation statements)

References 8 publications

(6 reference statements)

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“…similar to what is experienced on Linux. RIOT is a microkernel-based RTOS with multi-threading support, using an architecture inherited from FireKernel [46]. While the OS is written in C (ANSI99), applications and libraries can also be implemented in C++.…”

Section: A Open Source Ossmentioning

confidence: 99%

Operating Systems for Low-End Devices in the Internet of Things: A Survey

Hahm

Baccelli

Petersen

et al. 2016

IEEE Internet Things J.

251

162

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The Internet of Things (IoT) is projected to soon interconnect tens of billions of new devices, in large part also connected to the Internet. IoT devices include both high-end devices which can use traditional go-to operating systems (OS) such as Linux, and low-end devices which cannot, due to stringent resource constraints, e.g. very limited memory, computational power, and power supply. However, large-scale IoT software development, deployment, and maintenance requires an appropriate OS to build upon. In this paper, we thus analyse in detail the specific requirements that an OS should satisfy to run on low-end IoT devices, and we survey applicable operating systems, focusing on candidates that could become an equivalent of Linux for such devices i.e. a one-size-fits-most, open source OS for lowend IoT devices.

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Section: A Open Source Ossmentioning

confidence: 99%

Operating Systems for Low-End Devices in the Internet of Things: A Survey

Hahm

Baccelli

Petersen

et al. 2016

IEEE Internet Things J.

251

162

View full text Add to dashboard Cite

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“…RIOT [87] is licensed as LGPL (Lesser General Public License) and an open-source operating system for sensor nodes in the Internet of Things. RIOT OS is a microkernelbased operating system inherited from Fire Kernel [141] which matches the various software requirements for IoT devices. The key design objectives for RIOT OS include energy-efficiency, small memory footprint, modularity, and a developer-friendly programming interface, which make RIOT the best choice to power the widest spectrum of IoT devices.…”

Section: B Riot Osmentioning

confidence: 99%

Recent Advances in Information-Centric Networking-Based Internet of Things (ICN-IoT)

Arshad

Azam

Rehmani

et al. 2019

IEEE Internet Things J.

189

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Information-Centric Networking (ICN) is being realized as a promising approach to accomplish the shortcomings of current IP-address based networking. ICN models are based on naming the content to get rid of address-space scarcity, accessing the content via name-based-routing, caching the content at intermediate nodes to provide reliable, efficient data delivery and self-certifying contents to ensure better security. Obvious benefits of ICN in terms of fast and efficient data delivery and improved reliability raises ICN as highly promising networking model for Internet of Things (IoTs) like environments. IoT aims to connect anyone and/or anything at any time by any path on any place. From last decade, IoTs attracts both industry and research communities. IoTs is an emerging research field and still in its infancy. Thus, this paper presents the potential of ICN for IoTs by providing state-of-the-art literature survey. We discuss briefly the feasibility of ICN features and their models (and architectures) in the context of IoT. Subsequently, we present a comprehensive survey on ICN based caching, naming, security and mobility approaches for IoTs with appropriate classification. Furthermore, we present operating systems (OS) and simulation tools for ICN-IoT. Finally, we provide important research challenges and issues faced by ICN for IoTs.

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“…The scheduler is designed to minimize context switching between threads to few clock cycles. The kernel is based on FireKernel [26] providing maximum reliability and real-time multithreading. System tasks have static memory allocation, but for application threads dynamic memory management is used.…”

Section: ) Sensor Operating System-based Solutionsmentioning

confidence: 99%

Wireless sensor network virtualization: A survey

Khan

Belqasmi

Glitho

et al. 2016

IEEE Commun. Surv. Tutorials

282

129

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Abstract-Wireless Sensor Networks (WSNs) are the key components of the emerging Internet-of-Things (IoT) paradigm. They are now ubiquitous and used in a plurality of application domains. WSNs are still domain specific and usually deployed to support a specific application. However, as WSNs' nodes are becoming more and more powerful, it is getting more and more pertinent to research how multiple applications could share a very same WSN infrastructure. Virtualization is a technology that can potentially enable this sharing. This paper is a survey on WSN virtualization. It provides a comprehensive review of the state-of-the-art and an in-depth discussion of the research issues. We introduce the basics of WSN virtualization and motivate its pertinence with carefully selected scenarios. Existing works are presented in detail and critically evaluated using a set of requirements derived from the scenarios. The pertinent research projects are also reviewed. Several research issues are also discussed with hints on how they could be tackled. perform computations and communicate [2]. The most obvious drawback of the current WSNs is that they are domain-specific and task-oriented, tailored for particular applications with little or no possibility of reusing them for newer applications. This strategy is inefficient and leads to redundant deployments when new applications are contemplated. With the introduction of the IoT, it is not unrealistic to envision that future WSN deployments will have to support multiple applications simultaneously. Index Terms-Virtualization is a well-established concept that allows the abstraction of actual physical computing resources into logical units, enabling their efficient usage by multiple independent users [3]. It is a promising technique that can allow the efficient utilization of WSN deployments, as multiple applications will be able to co-exist on the same virtualized WSN. Virtualization is a key technique for the realization of the Future Internet [4] and it is indeed quite pertinent to explore it in the context of WSNs.Virtualizing WSNs brings with it many benefits; for example, even applications that were not envisioned a priori may be able to utilize existing WSN deployments. A second, related benefit is the elimination of tight coupling between WSN services/applications and WSN deployments. This allows experienced as well as novice application developers to develop innovative WSN applications without needing to know the technical details of the WSNs involved. Another benefit is that WSN applications and services can utilize as well as be utilized by third-party applications. It can also help to define a business model, with roles such as physical WSN provider, virtual WSN provider and WSN service provider.The WSN virtualization concept can be applied to several interesting application areas. Recent advances in smart phones and autonomous vehicles [5] have made it possible to have multiple on-board sensors on them. Mobile crowd sensing is one area that can take advantage of virtuali...

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A real-time kernel for wireless sensor networks employed in rescue scenarios

Cited by 44 publications

References 8 publications

Operating Systems for Low-End Devices in the Internet of Things: A Survey

Operating Systems for Low-End Devices in the Internet of Things: A Survey

Recent Advances in Information-Centric Networking-Based Internet of Things (ICN-IoT)

Wireless sensor network virtualization: A survey

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