Towards energy-efficient collision-free data aggregation scheduling in wireless sensor networks with multiple sinks

Sain Saginbekov, Arshad Jhumka, Chingiz Shakenov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Traditionally, Wireless Sensor Networks (WSNs) are deployed with a single sink. Due to the emergence of sophisticated applications, WSNs may require more than one sink, where many nodes forward data to many sinks. 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, they are either routing protocols or forward data from many nodes to one sink. In this paper, we propose data aggregation scheduling and energy-balancing algorithms for WSNs with multiple sinks that forward data from many nodes to many sinks. The algorithm first forms trees rooted at virtual sinks and then balances the number of children among nodes to balance energy consumption. Further, the algorithm assigns contiguous slots to sibling nodes to avoid unnecessary energy waste due to active-sleep transitions. We prove a number of theoretical results and the correctness of the algorithms. Simulation and testbed results show the correctness and performance of our algorithms.

Original languageEnglish
Title of host publicationSENSORNETS 2016 - Proceedings of the 5th International Confererence on Sensor Networks
PublisherSciTePress
Pages77-86
Number of pages10
ISBN (Electronic)9789897581694
Publication statusPublished - 2016
Event5th International Confererence on Sensor Networks, SENSORNETS 2016 - Rome, Italy
Duration: Feb 19 2016Feb 21 2016

Other

Other5th International Confererence on Sensor Networks, SENSORNETS 2016
CountryItaly
CityRome
Period2/19/162/21/16

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Keywords

  • Data aggregation scheduling
  • Mac
  • Many-to-many communication
  • Multiple sinks
  • Routing
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Saginbekov, S., Jhumka, A., & Shakenov, C. (2016). Towards energy-efficient collision-free data aggregation scheduling in wireless sensor networks with multiple sinks. In SENSORNETS 2016 - Proceedings of the 5th International Confererence on Sensor Networks (pp. 77-86). SciTePress.