research-article

A communication-optimizing middleware for efficient wireless communication in rural environments

Author:

Frank NordemannAuthors Info & Claims

MIDDLEWARE '12: Proceedings of the 9th Middleware Doctoral Symposium of the 13th ACM/IFIP/USENIX International Middleware Conference

Article No.: 3, Pages 1 - 6

https://doi.org/10.1145/2405688.2405691

Published: 03 December 2012 Publication History

MIDDLEWARE '12: Proceedings of the 9th Middleware Doctoral Symposium of the 13th ACM/IFIP/USENIX International Middleware Conference

A communication-optimizing middleware for efficient wireless communication in rural environments

Pages 1 - 6

Abstract
References

Abstract

The realization of wireless communication in rural environments suffers from long distances, unknown node mobility and discontinuous communication paths. Combination of delay-tolerant mobile ad-hoc networks and infrastructure-based mobile communications results in an increased number of communication opportunities in many usage scenarios. However, efficient exploitation of communication opportunities remains a challenging task.

This article introduces a novel middleware approach specialized for consistent and efficient wireless communication in rural environments. An important part of communication optimization is realized by processing on-hand information of the current application scenario. The middleware autonomously links scenario information to network states and applies machine-learning-based analyses to derive meaningful communication predictions. Cooperation of infrastructure-based and ad-hoc communication is implemented by a gateway component. The gateway collects connectivity information of mobile nodes, enhances communication predictions and distributes predictions across the network. Evaluation of local communication layer and application layer information as well as sharing of communication predictions using an application level API ensure efficient use of communication opportunities.

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Cited By

Bhat MJain A(2018)Evaluating Utilization of Cloud Computing for IoT Big Data SystemsInternational Journal of Distributed Artificial Intelligence10.4018/IJDAI.201801010310:1(34-42)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJDAI.2018010103
Krampe FDeeken HSteckel TAschenbruck N(2018)HOAR: A hybrid-opportunistic architecture for robust agricultural networking2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany)10.1109/IOT-TUSCANY.2018.8373020(1-6)Online publication date: May-2018
https://doi.org/10.1109/IOT-TUSCANY.2018.8373020
Bauer JAschenbruck N(2017)Measuring and Adapting MQTT in Cellular Networks for Collaborative Smart Farming2017 IEEE 42nd Conference on Local Computer Networks (LCN)10.1109/LCN.2017.81(294-302)Online publication date: Oct-2017
https://doi.org/10.1109/LCN.2017.81
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Index Terms

A communication-optimizing middleware for efficient wireless communication in rural environments
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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cover image ACM Other conferences

MIDDLEWARE '12: Proceedings of the 9th Middleware Doctoral Symposium of the 13th ACM/IFIP/USENIX International Middleware Conference

December 2012

52 pages

ISBN:9781450316118

DOI:10.1145/2405688

Conference Chair:
Bettina Kemme
McGill University, Canada

Copyright © 2012 ACM.

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 ACM 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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Published: 03 December 2012

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Middleware '12: 13th International Middleware Conference

December 3, 2012

Quebec, Montreal, Canada

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Cited By

Bhat MJain A(2018)Evaluating Utilization of Cloud Computing for IoT Big Data SystemsInternational Journal of Distributed Artificial Intelligence10.4018/IJDAI.201801010310:1(34-42)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJDAI.2018010103
Krampe FDeeken HSteckel TAschenbruck N(2018)HOAR: A hybrid-opportunistic architecture for robust agricultural networking2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany)10.1109/IOT-TUSCANY.2018.8373020(1-6)Online publication date: May-2018
https://doi.org/10.1109/IOT-TUSCANY.2018.8373020
Bauer JAschenbruck N(2017)Measuring and Adapting MQTT in Cellular Networks for Collaborative Smart Farming2017 IEEE 42nd Conference on Local Computer Networks (LCN)10.1109/LCN.2017.81(294-302)Online publication date: Oct-2017
https://doi.org/10.1109/LCN.2017.81
Cai HXu BJiang LVasilakos A(2016)IoT-based Big Data Storage Systems in Cloud Computing: Perspectives and ChallengesIEEE Internet of Things Journal10.1109/JIOT.2016.2619369(1-1)Online publication date: 2016
https://doi.org/10.1109/JIOT.2016.2619369

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