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Hitch Hiker: a remote binding model with priority based data aggregation for wireless sensor networks

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Hitch Hiker: a remote binding model with priority based data aggregation for wireless sensor networks. / Ramachandran, Gowri Sankar; Daniels, Wilfried; Proença, José et al.
CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering. New York: ACM, 2015. p. 43-48.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Ramachandran, GS, Daniels, W, Proença, J, Michiels, S, Joosen, W, Hughes, D & Porter, BF 2015, Hitch Hiker: a remote binding model with priority based data aggregation for wireless sensor networks. in CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering. ACM, New York, pp. 43-48. https://doi.org/10.1145/2737166.2737179

APA

Ramachandran, G. S., Daniels, W., Proença, J., Michiels, S., Joosen, W., Hughes, D., & Porter, B. F. (2015). Hitch Hiker: a remote binding model with priority based data aggregation for wireless sensor networks. In CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering (pp. 43-48). ACM. https://doi.org/10.1145/2737166.2737179

Vancouver

Ramachandran GS, Daniels W, Proença J, Michiels S, Joosen W, Hughes D et al. Hitch Hiker: a remote binding model with priority based data aggregation for wireless sensor networks. In CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering. New York: ACM. 2015. p. 43-48 doi: 10.1145/2737166.2737179

Author

Ramachandran, Gowri Sankar ; Daniels, Wilfried ; Proença, José et al. / Hitch Hiker : a remote binding model with priority based data aggregation for wireless sensor networks. CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering. New York : ACM, 2015. pp. 43-48

Bibtex

@inproceedings{abe69332df7b48769f219ad239443408,
title = "Hitch Hiker: a remote binding model with priority based data aggregation for wireless sensor networks",
abstract = "The aggregation of network traffic has been shown to enhance the performance of wireless sensor networks. By reducing the number of packets that are transmitted, energy consumption, collisions and congestion are minimised. However, current data aggregation schemes restrict developers to a specific network structure or cannot handle multi-hop data aggregation. In this paper, we propose Hitch Hiker, a remote component binding model that provides support for multi-hop data aggregation. Hitch Hiker uses component meta-data to discover remote component bindings and to construct a multi-hop overlay network within the free payload space of existing traffic flows. This overlay network provides end-to-end routing of low-priority traffic while using only a small fraction of the energy of standard communication. We have developed a prototype implementation of Hitch Hiker for the LooCI component model. Our evaluation shows that Hitch Hiker consumes minimal resources and that using Hitch Hiker to deliver low-priority traffic reduces energy consumption by up to 15%.",
author = "Ramachandran, {Gowri Sankar} and Wilfried Daniels and Jos{\'e} Proen{\c c}a and Sam Michiels and Wouter Joosen and Danny Hughes and Porter, {Barry Francis}",
year = "2015",
month = jan,
day = "1",
doi = "10.1145/2737166.2737179",
language = "English",
isbn = "9781450334716",
pages = "43--48",
booktitle = "CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Hitch Hiker

T2 - a remote binding model with priority based data aggregation for wireless sensor networks

AU - Ramachandran, Gowri Sankar

AU - Daniels, Wilfried

AU - Proença, José

AU - Michiels, Sam

AU - Joosen, Wouter

AU - Hughes, Danny

AU - Porter, Barry Francis

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The aggregation of network traffic has been shown to enhance the performance of wireless sensor networks. By reducing the number of packets that are transmitted, energy consumption, collisions and congestion are minimised. However, current data aggregation schemes restrict developers to a specific network structure or cannot handle multi-hop data aggregation. In this paper, we propose Hitch Hiker, a remote component binding model that provides support for multi-hop data aggregation. Hitch Hiker uses component meta-data to discover remote component bindings and to construct a multi-hop overlay network within the free payload space of existing traffic flows. This overlay network provides end-to-end routing of low-priority traffic while using only a small fraction of the energy of standard communication. We have developed a prototype implementation of Hitch Hiker for the LooCI component model. Our evaluation shows that Hitch Hiker consumes minimal resources and that using Hitch Hiker to deliver low-priority traffic reduces energy consumption by up to 15%.

AB - The aggregation of network traffic has been shown to enhance the performance of wireless sensor networks. By reducing the number of packets that are transmitted, energy consumption, collisions and congestion are minimised. However, current data aggregation schemes restrict developers to a specific network structure or cannot handle multi-hop data aggregation. In this paper, we propose Hitch Hiker, a remote component binding model that provides support for multi-hop data aggregation. Hitch Hiker uses component meta-data to discover remote component bindings and to construct a multi-hop overlay network within the free payload space of existing traffic flows. This overlay network provides end-to-end routing of low-priority traffic while using only a small fraction of the energy of standard communication. We have developed a prototype implementation of Hitch Hiker for the LooCI component model. Our evaluation shows that Hitch Hiker consumes minimal resources and that using Hitch Hiker to deliver low-priority traffic reduces energy consumption by up to 15%.

U2 - 10.1145/2737166.2737179

DO - 10.1145/2737166.2737179

M3 - Conference contribution/Paper

SN - 9781450334716

SP - 43

EP - 48

BT - CBSE '15 Proceedings of the 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering

PB - ACM

CY - New York

ER -