NDLI: 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

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Hitch Hiker: A Remote Binding Model with Priority Based Data Aggregation for Wireless Sensor Networks

Content Provider	ACM Digital Library
Author	Ramachandran, Gowri Sankar Michiels, Sam Porter, Barry Proença, José Joosen, Wouter Hughes, Danny Daniels, Wilfried
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%.
Starting Page	43
Ending Page	48
Page Count	6
File Format	PDF
ISBN	9781450334716
DOI	10.1145/2737166.2737179
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Aggregation Components Wireless sensor networks
Content Type	Text
Resource Type	Article

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