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Sleeping Techniques for Reducing Energy Dissipation

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Book cover The Art of Wireless Sensor Networks

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

Sensors have limited resources such as energy, computational power and bandwidth, and thus they require protocols and techniques that are resource aware and energy efficient. As energy waste through idle listening, retransmissions and overhearing are some of the primary causes of reduced lifetime in wireless sensor networks, sensor sleeping is critically important. Sleeping techniques prolong the network lifetime by placing components of the sensor node into a sleep mode while aiming to minimize the impact on application performance. Sensor sleeping can be applied to different layers of the protocol stack, and a cross-layer sleep manager can orchestrate sleeping in multiple layers simultaneously. In this chapter, the importance of sensor sleeping, the various sleeping techniques proposed and the applications using these approaches are discussed.

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Notes

  1. 1.

    There can be scenarios where there are sensors (actuators, relay nodes) with different communication and energy capacities, namely heterogeneous wireless sensor networks. In this chapter we will concentrate on homogeneous topology control, where all the sensors have the same capabilities. For details on topology control in heterogeneous wireless sensor networks, readers can refer to [74].

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Authors and Affiliations

  1. University of Rochester, Rochester, USA

    Rajani Muraleedharan, Ou Yang, He Ba, Surjya Ray & Wendi Heinzelman

  2. Saginaw Valley State University, University Center, USA

    Rajani Muraleedharan

  3. Universitat Politecnica de Catalunya, Barcelona, Spain

    Ilker Demirkol

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  1. Rajani Muraleedharan
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Correspondence to Wendi Heinzelman .

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  1. College of Engineering and Computer Science, Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, Michigan, USA

    Habib M. Ammari

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Muraleedharan, R., Demirkol, I., Yang, O., Ba, H., Ray, S., Heinzelman, W. (2014). Sleeping Techniques for Reducing Energy Dissipation. In: Ammari, H. (eds) The Art of Wireless Sensor Networks. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40009-4_6

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