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Competition and Collaboration in Wireless Sensor Networks

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Sensor Networks

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

Abstract

Wireless sensor networks present a number of challenges to system designers, including notably the efficient use of limited resources such as bandwidth and energy. One way that such challenges have been addressed in recent years is through an examination of interactions among nodes that can lead to greater efficiencies in the use of wireless resources. This chapter examines two types of such interactions: competition among nodes in infrastructure networks, and collaboration among nodes in ad hoc networks. In the first context, the network is viewed as an economic system, in which sensors behave as agents competing for radio resources to optimize the energy efficiency with which they transmit messages. A game theoretic formalism is used to analyze the effects of various design choices and constraints on energy efficiency. In the second context, collaborative techniques for optimizing the use of radio resources are considered. Here, the focus is primarily on distributed inference, in which distinctive features of wireless sensor networks can be exploited through collaboration among nodes to effect a tradeoff between inferential accuracy and energy consumption.

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Notes

  1. 1.

    Specifically, we assume that f is continuous, f(0) = 0, limγ→∞ f(γ) = 1, and that there is a value of γ such that f is convex to the left of that point and concave to its right. These conditions guarantee that the utility u k is a quasi-concave function of p k [27].

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Correspondence to H. Vincent Poor .

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© 2010 Springer-Verlag Berlin Heidelberg

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Vincent Poor, H. (2010). Competition and Collaboration in Wireless Sensor Networks. In: Ferrari, G. (eds) Sensor Networks. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01341-6_1

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  • DOI: https://doi.org/10.1007/978-3-642-01341-6_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01340-9

  • Online ISBN: 978-3-642-01341-6

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