research-article

MARINE: MiddlewAre for resource and mIssion-oriented sensor NEtworks

Authors:

Flávia C. Delicato,

Jesús M.T. Portocarrero,

José R. Silva,

Paulo F. Pires,

Rodrigo P.M. de Araújo,

Thais BatistaAuthors Info & Claims

ACM SIGMOBILE Mobile Computing and Communications Review, Volume 17, Issue 1

Pages 40 - 54

https://doi.org/10.1145/2502935.2502944

Published: 12 July 2013 Publication History

Abstract

Wireless sensor networks (WSNs) operate in a highly heterogeneous and dynamic scenario. On one hand, there is a wide range of potential applications for WSNs, each one with different features and requirements and defining a different mission for the sensor nodes to accomplish. On the other hand, the execution context regarding the devices, networks and the physical environment around is subject to frequent changes. In order to achieve the best network performance while meeting requirements of different application missions and contexts, it is crucial to endow the WSN with customization and adaptation capabilities. Such capabilities should be preferably provided by a middleware layer that translates application missions to network configuration in a transparent way for the final users and client applications. This middleware should also provide facilities to program the WSN nodes, to access sensor generated data and to promote interoperability among different applications and networks. To tackle these challenges, we propose MARINE (MiddlewAre for Resource and mIssion-oriented sensor NEtworks), a WSN middleware built on REST and microkernel architectural patterns. MARINE tailors the WSN to requirements of each application mission while saving the overall resource consumption in sensor nodes.

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Cited By

Sahni YCao JLiu X(2018)MidSHMFuture Generation Computer Systems10.1016/j.future.2017.01.02280:C(263-274)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2017.01.022
Balakrishnan SSangaiah A(2017)MIFIMMiddleware solution for service centric anomaly in future internet modelsFuture Generation Computer Systems10.1016/j.future.2016.08.00674:C(349-365)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.future.2016.08.006
Delicato FPires PBatista TDelicato FPires PBatista T(2017)The Activity of Resource AllocationResource Management for Internet of Things10.1007/978-3-319-54247-8_5(45-104)Online publication date: 31-Mar-2017
https://doi.org/10.1007/978-3-319-54247-8_5
Show More Cited By

MARINE: MiddlewAre for resource and mIssion-oriented sensor NEtworks
1. Networks
  1. Network types
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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Published In

cover image ACM SIGMOBILE Mobile Computing and Communications Review

ACM SIGMOBILE Mobile Computing and Communications Review Volume 17, Issue 1

January 2013

75 pages

ISSN:1559-1662

EISSN:1931-1222

DOI:10.1145/2502935

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Copyright © 2013 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2013

Published in SIGMOBILE Volume 17, Issue 1

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Cited By

Sahni YCao JLiu X(2018)MidSHMFuture Generation Computer Systems10.1016/j.future.2017.01.02280:C(263-274)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2017.01.022
Balakrishnan SSangaiah A(2017)MIFIMMiddleware solution for service centric anomaly in future internet modelsFuture Generation Computer Systems10.1016/j.future.2016.08.00674:C(349-365)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.future.2016.08.006
Delicato FPires PBatista TDelicato FPires PBatista T(2017)The Activity of Resource AllocationResource Management for Internet of Things10.1007/978-3-319-54247-8_5(45-104)Online publication date: 31-Mar-2017
https://doi.org/10.1007/978-3-319-54247-8_5
Balakrishnan SSangaiah A(2016)Aspect-oriented middleware framework for resolving service discovery issues in Internet of ThingsInternational Journal of Internet Protocol Technology10.1504/IJIPT.2016.0795469:2/3(62-78)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJIPT.2016.079546
Farias CLi WDelicato FPirmez LZomaya APires PSouza J(2016)A Systematic Review of Shared Sensor NetworksACM Computing Surveys10.1145/285151048:4(1-50)Online publication date: 9-Feb-2016
https://dl.acm.org/doi/10.1145/2851510
Sahni YCao JLiu X(2016)MidSHM: A Flexible Middleware for SHM Application Based on Service-Oriented Architecture2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)10.1109/SOSE.2016.43(126-135)Online publication date: Mar-2016
https://doi.org/10.1109/SOSE.2016.43
Li WDelicato FPires PLee YZomaya AMiceli CPirmez L(2014)Efficient allocation of resources in multiple heterogeneous Wireless Sensor NetworksJournal of Parallel and Distributed Computing10.1016/j.jpdc.2013.09.01274:1(1775-1788)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1016/j.jpdc.2013.09.012

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