Making sensor node virtual machines work for real-world applications

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Bibliographic Details
Title: Making sensor node virtual machines work for real-world applications
Authors: Reijers, Niels, Ellul, Joshua, Shih, Chi-Sheng
Publisher Information: Institute of Electrical and Electronics Engineers
Publication Year: 2018
Collection: University of Malta: OAR@UM / L-Università ta' Malta
Subject Terms: Wireless sensor networks, Computer systems, Java (Computer program language), Embedded computer systems
Description: A large number of virtual machines (VMs) have been developed for sensor nodes. Many are based on Java, although implementations based on Python and .Net also exist. Some aspects of the java virtual machine, such as the simple yet sufficiently expressive instruction set, work well on a sensor node. However, Java was developed for more powerful devices, which results in certain functionality not being ideal for resource constrained devices. While writing VM implementations and programmes to run on sensor node devices over the past decade, we encountered a number of situations where this mismatch between standard languages and the specifics of sensor node programming limited the practical use of current VMs. In this letter, we describe what we consider to be the most pressing issues and discuss how these may be resolved in future VMs. ; peer-reviewed
Document Type: article in journal/newspaper
Language: English
Relation: https://www.um.edu.mt/library/oar/handle/123456789/136466
DOI: 10.1109/LES.2018.2837685
Availability: https://www.um.edu.mt/library/oar/handle/123456789/136466
https://doi.org/10.1109/LES.2018.2837685
Rights: info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Accession Number: edsbas.E358C533
Database: BASE
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