A java virtual machine architecture for very small devices

Shaylor, Nik; Simon, Douglas N.; Bush, William R.

doi:10.1145/780737.780738

Cited by 8 publications

(7 citation statements)

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“…The reliability of the hardware platform for prototyping has been proven in several studies covering different engineering disciplines, including structural health monitoring [8,9,10]. The wireless sensor nodes feature an ARM 920T microcontroller with a 32-bit bus size running at 400 MHz, 1 MB flash memory, and 512 kB RAM, while the operating system is the Java-programmable Squawk Virtual Machine [11]. An 8-bit MMA7455L accelerometer is integrated into the sensor node platform, which can be set to sample at a maximum range of ±2g, ±6g, or ±8g.…”

Section: Validation Of the Decentralized Condition Assessment Methodomentioning

confidence: 99%

Embedding Numerical Models into Wireless Sensor Nodes for Structural Health Monitoring

Dragos¹,

Smarsly²

2015

Structural Health Monitoring 2015

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In recent years, there has been a growing trend towards wireless sensing technologies in the field of structural health monitoring. However, the inherently limited resources of wireless sensor nodes pose significant constraints to wireless sensor networks in terms of power efficiency and autonomous operation. To this end, several embedded algorithms have been proposed, exploiting the collocation of computational power with sensing modules in an attempt to reduce the size of the data to be wirelessly communicated. This paper presents an embedded computing approach for decentralized condition assessment of civil engineering structures based on numerical models embedded into wireless sensor nodes. The proposed approach consists of two stages. First, a distributed numerical model of the "initial" structural state, comprising coupled partial models of the monitored structure, is generated on-board the wireless sensor nodes. Second, automated identification of structural changes is performed through a comparison of the initial state of the numerical model and a simulated damaged state. For validation, laboratory tests of the proposed approach are performed on a four-story frame structure.

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Section: Validation Of the Decentralized Condition Assessment Methodomentioning

confidence: 99%

Embedding Numerical Models into Wireless Sensor Nodes for Structural Health Monitoring

Dragos¹,

Smarsly²

2015

Structural Health Monitoring 2015

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“…Utilizing this architectural concept, certain low-resource Java VMs have been proposed with the main aim of providing high-level resource abstraction for low-power embedded and networked systems [135,136,137].…”

Section: Related Workmentioning

confidence: 99%

Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge

Morabito

Farris

Iera

et al. 2017

IEEE Internet Things J.

107

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Research question 1 serves as a meta question for all of the remaining RQs, while a favorable response to RQ2 leads to the possibility of answering four additional RQs (RQ3 to RQ6), each of which can be linked to a separate and independent research problem. As portrayed in Fig. 2, each publication included in this dissertation is intended to address a specific research problem. Publication VI (P6) defines two different container-based solutions for IoT service provisioning. The first operational framework is based on a direct interaction between cooperating devices, while the second relies on the presence of an edge manager that controls the processes between cooperating devices that form a cluster. We also validate the efficiency of the two frameworks by means of an extensive empirical campaign carried out via an IoT testbed. The performance analysis sheds light on the feasibility of container-based IoT service provisioning frameworks. The results also demonstrate that container

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“…The appearance of light-weight Java virtual machines, e.g., Darjeeling [18] and Squawk [19], allows designers to develop WSN applications using a high level programming language, with slightly reduced application code performance due to the extra resources consumed by the virtual machine. Other techniques based on virtual machine and middleware are also available to relieve the designers from concerns due to the low level aspects, such as a UML-based approach using a virtual machine.…”

Section: Related Workmentioning

confidence: 99%

A Model-Based Approach for Bridging Virtual and Physical Sensor Nodes in a Hybrid Simulation Framework

Mozumdar

Song

Lavagno

et al. 2014

Sensors

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The Model Based Design (MBD) approach is a popular trend to speed up application development of embedded systems, which uses high-level abstractions to capture functional requirements in an executable manner, and which automates implementation code generation. Wireless Sensor Networks (WSNs) are an emerging very promising application area for embedded systems. However, there is a lack of tools in this area, which would allow an application developer to model a WSN application by using high level abstractions, simulate it mapped to a multi-node scenario for functional analysis, and finally use the refined model to automatically generate code for different WSN platforms. Motivated by this idea, in this paper we present a hybrid simulation framework that not only follows the MBD approach for WSN application development, but also interconnects a simulated sub-network with a physical sub-network and then allows one to co-simulate them, which is also known as Hardware-In-the-Loop (HIL) simulation.

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A java virtual machine architecture for very small devices

Cited by 8 publications

References 0 publications

Embedding Numerical Models into Wireless Sensor Nodes for Structural Health Monitoring

Embedding Numerical Models into Wireless Sensor Nodes for Structural Health Monitoring

Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge

A Model-Based Approach for Bridging Virtual and Physical Sensor Nodes in a Hybrid Simulation Framework

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