Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings

Research Article

Energy Efficient Target Coverage in Partially Deployed Software Defined Wireless Sensor Network

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  • @INPROCEEDINGS{10.1007/978-3-319-40352-6_60,
        author={Slavica Tomovic and Igor Radusinovic},
        title={Energy Efficient Target Coverage in Partially Deployed Software Defined Wireless Sensor Network},
        proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings},
        proceedings_a={CROWNCOM},
        year={2016},
        month={6},
        keywords={SDN WSN Target coverage Routing Energy efficiency},
        doi={10.1007/978-3-319-40352-6_60}
    }
    
  • Slavica Tomovic
    Igor Radusinovic
    Year: 2016
    Energy Efficient Target Coverage in Partially Deployed Software Defined Wireless Sensor Network
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-40352-6_60
Slavica Tomovic1,*, Igor Radusinovic1,*
  • 1: University of Montenegro
*Contact email: slavicat@ac.me, igorr@ac.me

Abstract

Limited energy resources of sensor nodes are one of the main weaknesses of wireless sensor networks (WSNs). It has long been recognized that conventional methods of data transmission in WSNs are energy inefficient. However, implementation of coordinated, energy-aware routing and power control strategies among sensor nodes is difficult due to distributed network control. Software defined networking (SDN) is a new networking paradigm which overcomes this issue by decoupling the network control and data planes. As an emerging technology, originally envisioned for wired networks, SDN cannot be expected to completely replace traditional WSNs in near future. Therefore, in this paper, we investigate how to save energy in partially deployed software-defined WSN (SD-WSN). In particular, the paper considers the scenario of WSN deployed for monitoring set of targets with known locations, and analyses how the incremental SDN deployment and various power- mode switching policies could affect the WSN lifetime.