A Java Compatible Virtual Machine as an Embedded Middleware for Wireless Sensor Networks

Cota, Carlos; Aguilar, Luis T.; Licea, Guillermo

doi:10.1109/cerma.2010.104

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Unlike conventional virtual machines in wireless sensor networks [16] [17], whose interactions are assumed to be between an end-user and a single isolated node in a network and not among the nodes themselves, the Embedded Virtual Machine (EVM) provides an inter-node interaction that standardizes the programming interfaces and synchronizes connectivity between the heterogeneous categories of hardware platforms [10].…”

Section: Embedded Virtual Machinementioning

confidence: 99%

A self-adaptation framework for resource constrained miniature search and rescue robots

Cui

Voyles

et al. 2012

2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

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The size of miniature urban search and rescue robots forces constraints on critical resources such as power, space, and computational ability. To alleviate the effect of resource constraints, it is prudent to let robots adapt themselves autonomously in reaction to unforeseen conditions in disaster area. Software adaptation has been the goal of many researchers, but hardware adaptation is an important aspect, too. In this paper, we present a self-adaptation framework for heterogeneous multi-robot collectives, which consists of partial dynamic reconfiguration for hardware adaptation, module migration for software adaptation, and task performance evaluation to enable autonomous adaptation. These things taken together represent an Embedded Virtual Machine for hardware/software task migration. Our Morphing Crossbar structure, which interconnects reusable hardware modules, is presented to increase the partial dynamic reconfiguration performance. Combined with the runtime downloading and installation of reusable software modules based on the port-based object framework in our PBO/RT realtime operating system, high-performance, heterogeneous, runtime adaptation of hardware/software real-time computational systems is achieved. The adaptation evaluators provide the ability of robotic systems to self-diagnose and self-adapt with an appropriate, distributed configuration monitor. We have implemented this self-adaptation framework in our RecoNode CPU node. By using RecoNode-based CRAWLER and HexRotor robots, an application scenario is presented in order to show the feasibility of this framework.

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Section: Embedded Virtual Machinementioning

confidence: 99%

A self-adaptation framework for resource constrained miniature search and rescue robots

Cui

Voyles

et al. 2012

2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

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“…The appearance of light-weigth Java virtual machines, like MiniMV (Cota et al, 2010) and Squawk (Shaylor et al, 2003), allows the designers to develop WSN applications using a high level programming language, thus with slightly reduced application code performance due to the the extra resources consumed by the virtual machine. Other techniques based on virtual machines are also available to relieve the designers from concerns due to the low level logic, such as UML technique based virtual machine Matilda (Wada et al, 2007).…”

Section: Related Workmentioning

confidence: 99%

A Service-Driven Development Tool for Wireless Sensor Network

Song

Lavagno

Tomasi

et al. 2012

Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems

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Thanks to advances in the area of embedded low-power microprocessors and short-range wireless communication, pervasive technologies such as Wireless Sensor Networks (WSNs) are easing the collection and integration of real-world data into ICT systems. However, developing and testing application logic for heterogeneous WSN devices remains a challenging and cumbersome task. In order to make prototyping of WSN solutions faster and less error-prone, in this paper we propose a set of development tools for WSNs based on object-oriented and service-driven models. Within these tools, applications are modelled as sets of interconnected blocks, each providing or using a number of services defined at design time. Externally, each block is a self-contained black-box exposing a set of service interfaces and tunable attributes; internally, an event-driven state-chart model represents its logical behaviour. All blocks are automatically created as skeleton templates by the tools, and then can be graphically developed and debugged in different hierarchical depths through widely used Mathworks c tools. Moreover, the developed functional blocks can be automatically converted to platform-specific binaries to ease deployment on actual devices (e.g. on TinyOS-based platforms) and large scale simulation (e.g. in MiXiM) enriched with HIL (Hardware In the Loop) capabilities.

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“…Dong et al present a mechanism called Elon for enabling efficient and long-term reprogramming in wireless sensor networks [3]. Besides, approaches based binary differences [4][5][6], script language [7,8], virtual machines [9][10][11][12][13], network parameters reconfiguration [14][15][16], open framework support [17,18], and the loadable native code in Contiki [19] and SOS [20] also have their own features to support reprogramming. However, the above published studies mainly focus on the single node reprogramming, and even the interface and method for remote operations over the air in the wireless sensor network are not referred to.…”

Section: Introductionmentioning

confidence: 99%

On Application-Customized Common Platform for Wireless Vehicular Sensor Networks

Wang

Han

Yang

2014

International Journal of Distributed Sensor Networks

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Developing, deploying, or reprogramming an application in a short time and at a low cost is necessary in wireless vehicular sensor and vehicular ad hoc networks. However, the existing technologies, which usually take a long time or require a high cost, cannot support a system and common solution. In this paper, we propose an application-customized common platform for wireless vehicular sensor networks. The common platform can provide us with a friendly web-based user interface, so as to make deploying or reprogramming a running field application in VeSANs become very convenient, simple, and efficient. According to the requirements of the common platform and the presented architecture model, we have implemented the common platform in both hardware and software. The in-field experiment and the test results show that the platform is available for the developing and deploying of WSNs for different applications.

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A Java Compatible Virtual Machine as an Embedded Middleware for Wireless Sensor Networks

Cited by 5 publications

References 10 publications

A self-adaptation framework for resource constrained miniature search and rescue robots

A self-adaptation framework for resource constrained miniature search and rescue robots

A Service-Driven Development Tool for Wireless Sensor Network

On Application-Customized Common Platform for Wireless Vehicular Sensor Networks

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