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Enabling resource sharing in heterogeneous wireless sensor networks

Published: 09 December 2014 Publication History

Abstract

Wireless Sensor Networks (WSNs) are trending towards environments comprised of multiple parties owning many devices. In this environment, node owners want to share their sensor nodes' limited resources, but need to be able to limit resource access and to charge for the resource usage. Node users need to handle the complexity of deploying functionality on very heterogeneous networks. Current WSN approaches enable building large scale applications, yet often ignore node heterogeneity or assume a single party owns and manages the network. This paper proposes three contributions: 1) a resource modeling language, 2) a system architecture and 3) a tool for assisted and validated application planning and deployment across heterogeneous networks. A prototype shows the feasibility and illustrates the opportunities of controlled sharing of node services.

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Cited By

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  • (2021)Computational intelligent techniques for resource management schemes in wireless sensor networksRecent Trends in Computational Intelligence Enabled Research10.1016/B978-0-12-822844-9.00023-2(41-59)Online publication date: 2021
  • (2015)RefractionProceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering10.1145/2737166.2737168(27-36)Online publication date: 4-May-2015

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    M4IOT '14: Proceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT
    December 2014
    36 pages
    ISBN:9781450332347
    DOI:10.1145/2676743
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 09 December 2014

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    M4IOT '14 Paper Acceptance Rate 5 of 10 submissions, 50%;
    Overall Acceptance Rate 10 of 18 submissions, 56%

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    View all
    • (2021)Computational intelligent techniques for resource management schemes in wireless sensor networksRecent Trends in Computational Intelligence Enabled Research10.1016/B978-0-12-822844-9.00023-2(41-59)Online publication date: 2021
    • (2015)RefractionProceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering10.1145/2737166.2737168(27-36)Online publication date: 4-May-2015

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