SEAL: A Domain-Specific Language for Novice Wireless Sensor Network Programmers

Elsts, Atis; Judvaitis, Jānis; Selavo, Leo

doi:10.1109/seaa.2013.16

Cited by 13 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SEAL [8] is another programming language to support sensor networks, but it is dedicated to more novice programmers. Unlike these approaches, we do not expect that users will write their own programs to obtain sensor data; the assumed application will be used by computer or smartphone users who do not develop software for IE.…”

Section: Handling Iementioning

confidence: 99%

RW-QAnswer: an assisting system for intelligent environments using semantic technology

Shimoda

Diefenbach²,

Singh

et al. 2020

J Reliable Intell Environ

View full text Add to dashboard Cite

We have seen rapid growth of Internet of Things (IoT) paradigm. Challenges of IoT include the need to obtain comprehensive environmental information using multiple and different types of sensors as well as the need to reduce the amount of bandwidth used by a large number of sensors. Especially when image sensors are used, a significant amount of bandwidth is used for sending images. In addition, the use of IoT devices need not be limited to experts who are good at handling sensors. For example, there is the home IoT system which is expected to be used at home by several users. Thus, it is necessary to have an interface which is easy to handle, even for people who are not good at handling data and sensors. To solve these problems, we use Resource Description Framework (RDF) used in the Semantic Web field as metadata of sensor data for comprehensive environmental information acquisition. Then, by linking with an existing RDF search system called QAnswer, which uses natural language, we create a system that enables sensor data search using natural language. Thus, we design an intelligent system which enables users to interact with sensors using natural language. By combining an RDF database and a server which controls the flow of messages, we then investigate the trade-off between the response time to a user's request and the amount of bandwidth usage by messages. Our results show that in a sensor network using RDF, it is possible to reduce the amount of communication traffic by optimally transferring RDF and sensor data only on arrival of a request and this can be done without much increase in the communication latency.

show abstract

Section: Handling Iementioning

confidence: 99%

RW-QAnswer: an assisting system for intelligent environments using semantic technology

Shimoda

Diefenbach²,

Singh

et al. 2020

J Reliable Intell Environ

View full text Add to dashboard Cite

show abstract

“…Other approaches focus on providing programming languages for WSN that are friendly to non-specialists [36][37][38]. Although the technology is widely available and interesting to many fields, application developers do not usually have the skills or experience to dwell in low-level programming and hardware configurations.…”

Section: Related Workmentioning

confidence: 99%

A safe-by-design programming language for wireless sensor networks

Lopes

Martins

2016

Journal of Systems Architecture

View full text Add to dashboard Cite

a b s t r a c tWireless sensor networks are notoriously difficult to program and debug. This fact not only stems from the nature of the hardware, but also from the current approaches for developing programming languages and runtime systems for these platforms. In particular, current systems do not place enough stress on providing formal descriptions of the language and its runtime system, and on proving static properties, like type-safety and soundness. In this paper, we present the design, specification, and implementation of a programming language and a runtime system for wireless sensor networks that are safe by design. We say this in the sense that we can statically detect a large set of would-be runtime errors, and that the runtime system will not incorrectly execute an application, once the latter is deployed. We have a full prototype implementation of the system that supports SunSPOT devices, the simulation tool VisualSense, and local computer networks for fast deployment and testing of applications. Development is supported by an IDE implemented on top of the Eclipse tool that embeds both the compiler and the virtual machine seamlessly, and is used to produce software releases.

show abstract

“…ATaG is a hybrid programming model: the high-level specification is visual and declarative, while the low-level code inside the tasks typically is textual and imperative: the code of the predefined tasks of ProFuN TG is written in C. However, we also include support for tasks written in another, declarative, WSN application-specification language SEAL [7].…”

Section: Conceptual Foundations a Programming Modelmentioning

confidence: 99%

ProFuN TG: A tool for programming and managing performance-aware sensor network applications

Elsts

Bijarbooneh

Jacobsson

et al. 2015

2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)

Self Cite

View full text Add to dashboard Cite

Abstract-Sensor network macroprogramming methodologies such as the Abstract Task Graph hold the promise of enabling high-level sensor network application development. However, progress in this area is hampered by the scarcity of tools, and also because of insufficient focus on developing tool support for programming applications aware of performance requirements.We present ProFuN TG (Task Graph), a tool for designing sensor network applications using task graphs. ProFuN TG provides automated task mapping, sensor node firmware macrocompilation, application simulation, deployment, and runtime maintenance capabilities. It allows users to incorporate performance requirements in the applications, expressed through constraints on task-to-task dataflows. The tool includes middleware that uses an efficient flooding-based protocol to set up tasks in the network, and also enables runtime assurance by keeping track of the constraint conditions.We show that the adaptive task reallocation enabled by our approach can significantly increase application reliability while decreasing energy consumption: in a network with unreliable links, we achieve above 99.89 % task-to-task PDR while keeping the maximal radio duty cycle around 2.0 %.

show abstract

SEAL: A Domain-Specific Language for Novice Wireless Sensor Network Programmers

Cited by 13 publications

References 15 publications

RW-QAnswer: an assisting system for intelligent environments using semantic technology

RW-QAnswer: an assisting system for intelligent environments using semantic technology

A safe-by-design programming language for wireless sensor networks

ProFuN TG: A tool for programming and managing performance-aware sensor network applications

Contact Info

Product

Resources

About