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Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks

Authors:

Salem Hadim,

Nader MohamedAuthors Info & Claims

IEEE Distributed Systems Online, Volume 7, Issue 3

Page 1

https://doi.org/10.1109/MDSO.2006.19

Published: 01 March 2006 Publication History

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Abstract

Due to many advantages over traditional networks, in recent years, wireless sensor networks have offered a spectrum of new applications. A middleware layer bridging the gap between applications and low-level constructs is a novel approach to resolve many of the open issues and drastically enhance application development on such networks. This survey shows the current state of the research in this domain by presenting and discussing the most representative WSN middleware. The authors concentrate on discovering similarities and differences among these approaches by making state-of-the-art classifications, and providing a framework for evaluation and appropriateness.

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Song XSun HDong YPei YWang S(2024)Deep Learning-Based Wearable Human Activity Recognition: Model and Performance AnalysisProceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence10.1145/3640824.3640830(30-36)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3640824.3640830
Vikash Mishra LVarma S(2021)Middleware Technologies for Smart Wireless Sensor Networks towards Internet of Things: A Comparative ReviewWireless Personal Communications: An International Journal10.1007/s11277-020-07748-7116:3(1539-1574)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11277-020-07748-7
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
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Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks

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cover image IEEE Distributed Systems Online

IEEE Distributed Systems Online Volume 7, Issue 3

March 2006

ISSN:1541-4922

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IEEE Educational Activities Department

United States

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Published: 01 March 2006

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Song XSun HDong YPei YWang S(2024)Deep Learning-Based Wearable Human Activity Recognition: Model and Performance AnalysisProceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence10.1145/3640824.3640830(30-36)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3640824.3640830
Vikash Mishra LVarma S(2021)Middleware Technologies for Smart Wireless Sensor Networks towards Internet of Things: A Comparative ReviewWireless Personal Communications: An International Journal10.1007/s11277-020-07748-7116:3(1539-1574)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11277-020-07748-7
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
Bhushan BSahoo G(2018)Recent Advances in Attacks, Technical Challenges, Vulnerabilities and Their Countermeasures in Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4962-098:2(2037-2077)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11277-017-4962-0
Erlank ABridges C(2018)A hybrid real-time agent platform for fault-tolerant, embedded applicationsAutonomous Agents and Multi-Agent Systems10.1007/s10458-017-9378-432:2(252-274)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s10458-017-9378-4
Onderwater M(2016)An overview of centralised middleware components for sensor networksInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/IJAHUC.2016.07537821:3(180-193)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1504/IJAHUC.2016.075378
Portocarrero JDelicato FPires PRodrigues TBatista TOssowski S(2016)SAMSONProceedings of the 31st Annual ACM Symposium on Applied Computing10.1145/2851613.2851766(1315-1322)Online publication date: 4-Apr-2016
https://dl.acm.org/doi/10.1145/2851613.2851766
Ruiz-Zafra ANoguera MBenghazi KOchoa S(2015)A model-driven approach for wearable systems developmentsInternational Journal of Distributed Sensor Networks10.1155/2015/6371302015(5-5)Online publication date: 1-Jan-2015
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Hussain SJaved HKhan TShazad SKhalil F(2015)Native process migration in wireless sensor networksInternational Journal of Distributed Sensor Networks10.1155/2015/6071432015(3-3)Online publication date: 1-Jan-2015
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Azzarà AAlessandrelli DPetracca MPagano PWolisz ALiu JZhong L(2014)Demonstration abstract: PyoT, a macroprogramming framework for the IoTProceedings of the 13th international symposium on Information processing in sensor networks10.5555/2602339.2602392(315-316)Online publication date: 15-Apr-2014
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Mires: a publish/subscribe middleware for sensor networks

A message-oriented middleware for sensor networks

Middleware Support for Pluggable Non-Functional Properties in Wireless Sensor Networks

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