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Load-Balanced Data Collection through Opportunistic Routing
Univ Mons, Dept Comp Sci, B-7000 Mons, Belgium.
SICS Swedish ICT AB, Kista, Sweden.
Univ Mons, Dept Comp Sci, B-7000 Mons, Belgium.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. SICS Swedish ICT AB, Kista, Sweden. (UNO)ORCID iD: 0000-0002-2586-8573
2015 (English)Conference paper (Refereed)
Abstract [en]

Wireless Sensor Networks performing low-power data collection often suffer from uneven load distribution among nodes. Nodes close to the network root typically face a higher load, see their battery deplete first, and become prematurely unable to operate (both sensing and relaying other nodes' data). We argue that opportunistic routing, by making forwarding decision on a per-packet basis and at the receiver rather than the sender, has the potential to better balance the load across nodes. We extend ORPL, an opportunistic version of the standard routing protocol RPL, with support for load-balancing. In our protocol, ORPL-LB, nodes continuously adapt their wake-up interval in order to adjust their availability and attain a deployment-specific target duty cycle. We implement our protocol in Contiki and present our experimental validation in Indriya, a 93-nodes testbed. Our results show that ORPL-LB reduces significantly (by approximately 40%) the worst node's duty cycle, with little or no impact on packet delivery ratio and latency.

Place, publisher, year, edition, pages
2015. 62-70 p.
National Category
Computer Science Computer Engineering
Research subject
Computer Science with specialization in Computer Communication
URN: urn:nbn:se:uu:diva-272246ISI: 000380515100007ISBN: 9781479988563OAI: oai:DiVA.org:uu-272246DiVA: diva2:893579
International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS 2015)
Available from: 2016-01-12 Created: 2016-01-12 Last updated: 2016-09-15Bibliographically approved

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