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Many-to-many data aggregation scheduling in wireless sensor networks with two sinks
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Saginbekov, Sain and Jhumka, Arshad (2017) Many-to-many data aggregation scheduling in wireless sensor networks with two sinks. Computer Networks, 123 . pp. 184-199. doi:10.1016/j.comnet.2017.05.022
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WRAP-many-to-man-aggregation-scheduling-Jhumka-2017.pdf - Accepted Version - Requires a PDF viewer. Download (1500Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.comnet.2017.05.022
Abstract
Traditionally, wireless sensor networks (WSNs) have been deployed with a single sink. Due to the emergence of sophisticated applications, WSNs may require more than one sink. Moreover, deploying more than one sink may prolong the network lifetime and address fault tolerance issues. Several protocols have been proposed for WSNs with multiple sinks. However, most of them are routing protocols. Differently, our main contribution, in this paper, is the development of a distributed data aggregation scheduling (DAS) algorithm for WSNs with two sinks. We also propose a distributed energy-balancing algorithm to balance the energy consumption for the aggregators. The energy-balancing algorithm first forms trees rooted at nodes which are termed virtual sinks and then balances the number of children at a given level to level the energy consumption. Subsequently, the DAS algorithm takes the resulting balanced tree and assigns contiguous slots to sibling nodes, to avoid unnecessary energy waste due to frequent active-sleep transitions. We prove a number of theoretical results and the correctness of the algorithms. Through simulation and testbed experiments, we show the correctness and performance of our algorithms.
| Item Type: | Journal Article | ||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Wireless sensor networks--Computer programs, Energy consumption --Computer programs., Data compression (Computer science), Aggregation operators | ||||||
| Journal or Publication Title: | Computer Networks | ||||||
| Publisher: | Elsevier BV * North-Holland | ||||||
| ISSN: | 1389-1286 | ||||||
| Official Date: | 4 August 2017 | ||||||
| Dates: |
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| Date of first compliant deposit: | 30 May 2017 | ||||||
| Volume: | 123 | ||||||
| Page Range: | pp. 184-199 | ||||||
| DOI: | 10.1016/j.comnet.2017.05.022 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access |
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