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
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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].
Reference
Bacci G, Luise M, Poor HV (2008) Energy efficient power control is (almost) equivalent for DS-CDMA and TH-UWB. Electr Lett 44(8):555–556.
Bacci G, Luise M, Poor HV (2008) Game theory and power control in ultrawideband networks. Phys Commun 1(1):21–39.
Bacci G, Luise M, Poor HV (2008) Performance of rake receivers in IR-UWB networks using energy-efficient power control. IEEE Trans Wireless Commun 7(6):2289–2299.
Bacci G, Luise M, Poor HV, Tulino A (2007) Energy-efficient power control in impulse radio UWB wireless networks. IEEE J Selected Topics Signal Process 1(3):508–520.
Betz S, Poor HV (2008) Energy efficiency in multi-hop CDMA networks: a game theoretic analysis considering operating costs. IEEE Trans Signal Process 56(10):5181–5190.
Biglieri E, Calderbank AR, Constantinides AG, Goldsmith A, Paulraj A, Poor HV (2007) MIMO Wireless Communications. Cambridge University Press, Cambridge, UK.
Brown DR, III, Poor HV (2008) Time-slotted round-trip carrier synchronization for distributed beamforming. IEEE Trans Signal Process 56(11):5630–5643.
Buzzi S, Poor HV (2008) Joint receiver and transmitter optimization for energy-efficient multiple-access communications. IEEE J Selected Areas Commun 26(3):459–472.
Buzzi S, Poor HV, Saturnino D (2009) Non-cooperative waveform adaptation games in multiple access communications. IEEE Signal Process Mag 26(5):64–76.
Buzzi S, Saturnino D, Poor HV (2009) Adaptive cross-layer distributed energy-efficient resource allocation algorithms for wireless data networks. EURASIP J Advances Signal Process, Article ID 532607:14.
Comaniciu C, Mandayam N, Poor HV (2005) Wireless Networks: Multiuser Detection in Cross-Layer Design. Springer, New York.
Dong L, Petropulu A, Poor HV (2008) A cross-layer approach to collaborative beamforming for wireless ad hoc networks. IEEE Trans Signal Process 56(7):2981–2993.
Fan Y, Adinoyi A, Thompson JS, Yanikomeroglu H, Poor HV (2009) A simple distributed antenna processing scheme for cooperative diversity. IEEE Trans Commun 57(3):626–629.
Goldsmith A (2005) Wireless Communications. Cambridge University Press, Cambridge, UK.
Goodman DJ, Mandayam N (2000) Power control for wireless data. IEEE Pers Commun 7(2):48–54.
Han Z, Poor HV (2007) Lifetime improvement in wireless sensor networks via collaborative beamforming and cooperative transmission. IET Microw Antennas Propag 1(6):1103–1110.
Han Z, Poor HV (2009) Coalition games with cooperative transmission: a cure for the curse of boundary nodes in selfish packet-forwarding wireless networks. IEEE Trans Commun 57(1):203–213.
Hastie T, Tibshirani T, Friedman, J (2001) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York.
Huang J, Han Z, Chiang M, Poor HV (2008) Auction-based resource allocation for cooperative communications,. IEEE J Selected Areas Commun 26(7):1226–1237.
Massaro V, Buzzi S, Poor HV (2009) Energy-efficient resource allocation in multipath CDMA channels with bandlimited waveforms. IEEE Trans Signal Process 57(4):1494–1510.
Meshkati F, Chiang M, Poor HV, Schwartz SC (2006) A game-theoretic approach to energy-efficient power control in multi-carrier CDMA systems. IEEE J Selected Areas Commun 24(6):1115–1129.
Meshkati F, Goldsmith A, Poor HV, Schwartz SC (2007) A game theoretic approach to energy-efficient modulation in CDMA networks with delay QoS constraints. IEEE J Selected Areas Commun 25(6):1069–1078.
Meshkati F, Guo D, Poor HV, Schwartz SC (2008) A unified approach to energy-efficient power control in large CDMA systems. IEEE Trans Wireless Commun 7(4):1208–1216.
Meshkati F, Poor HV, Schwartz SC (2007) Energy-efficient resource allocation in wireless networks. IEEE Signal Proc Mag 24(3):58–68.
Meshkati F, Poor HV, Schwartz SC (2009) Energy efficiency-delay tradeoffs in multiple-access networks. IEEE Trans Inform Theory 55(7): 3220–3228.
Meshkati F, Poor HV, Schwartz SC, Balan R (2009) Energy-efficient resource allocation in wireless networks with quality-of-service constraints. IEEE Trans Commun 57(11): 3406–3414.
Meshkati F, Poor HV, Schwartz SC, Mandayam N (2005) An energy-efficient approach to power control and receiver design in wireless data networks. IEEE Trans Commun 53(11):1885–1894.
Mudumbai R, Madhow M, Brown DR, III, Poor HV (2009) Distributed transmit beamforming: challenges and recent progress. IEEE Commun Mag 47(2):102–110.
Ochiai H, Mitran P, Poor HV, Tarokh V (2005) Collaborative beamforming for distributed wireless ad hoc sensor networks. IEEE Trans Signal Process 53(11):4110–4124.
Ochiai H, Mitran P, Poor HV, Tarokh V (2008) Random array theory and collaborative beamforming. In: Handbook on Advancements in Smart Antenna Technologies for Wireless Networks. Idea Group, Hershey, PA.
Poor HV (1994) An Introduction to Signal Detection and Estimation, 2nd edn. Springer, New York.
Poor HV (2004) Iterative multiuser detection. IEEE Signal Process Mag 21(1):81–88.
Predd JB, Kulkarni SR, Poor HV (2006) Consistency in models for distributed learning under communication constraints. IEEE Trans Inform Theory 52(1):52–63.
Predd JB, Kulkarni SR, Poor HV (2006) Distributed learning in wireless sensor networks. IEEE Signal Process Mag 23(4):56–69.
Predd JB, Kulkarni SR, Poor HV (2009) A collaborative training algorithm for distributed learning. IEEE Trans Inform Theory 55(4):1856–1871.
Predd JB, Osherson D, Kulkarni SR, Poor HV (2008) Aggregating forecasts of chance from incoherent and abstaining experts. Decis Anal 5(4):177–189.
Pun MO, Brown DR, III, Poor HV (2009) Opportunistic collaborative beamforming with one-bit feedback. IEEE Trans Wireless Commun 8(5):2629–2641.
Schölkopf B, Smola A (2002) Learning with Kernels. MIT Press, Cambridge, MA.
Verdú S (1998) Multiuser Detection. Cambridge University Press, Cambridge, UK.
Verdú S (2002) Spectral efficiency in the wideband regime. IEEE Trans Inform Theory 48(6):1319–1343.
Wang X, Poor HV (2004) Wireless Communication Systems: Advanced Techniques for Signal Reception. Prentice-Hall, Upper Saddle River, NJ.
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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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