سند علمی

On the Order Optimality of Large-scale Underwater Networks

چکیده

Capacity scaling laws are analyzed in an underwater acoustic network with n regularly located nodes on a square, in which both bandwidth and received signal power can be limited significantly. A narrow-band model is assumed where the carrier frequency is allowed to scale as a function of n. In the network, we characterize an attenuation parameter that depends on the frequency scaling as well as the transmission distance. Cut-set upper bounds on the throughput scaling are then derived in both extended and dense networks having unit node density and unit area, respectively. It is first analyzed that under extended networks, the upper bound is inversely proportional to the attenuation parameter, thus resulting in a highly power-limited network. Interestingly, it is seen that the upper bound for extended networks is intrinsically related to the attenuation parameter but not the spreading factor. On the other hand, in dense networks, we show that there exists either a bandwidth or power limitation, or both, according to the path-loss attenuation regimes, thus yielding the upper bound that has three fundamentally different operating regimes. Furthermore, we describe an achievable scheme based on the simple nearest-neighbor multi-hop (MH) transmission. We show that under extended networks, the MH scheme is order-optimal for all the operating regimes. An achievability result is also presented in dense networks, where the operating regimes that guarantee the order optimality are identified. It thus turns out that frequency scaling is instrumental towards achieving the order optimality in the regimes. Finally, these scaling results are extended to a random network realization. As a result, vital information for fundamental limits of a variety of underwater network scenarios is provided by showing capacity scaling laws. Index Terms Achievability, attenuation parameter, bandwidth, capacity scaling law, carrier frequency, cut-set upper bound, dense network, extended network, multi-hop (MH), operating regime, path-loss attenuation regime, power-limited, underwater acoustic network. This work was supported in part by the National Science Foundation under grants No. 0520075, 0831728 and CNS-0627021, and by the ONR MURI grant No. N00014-07-1-0738, subcontract # 060786 issued by BAE Systems National Security Solutions, Inc., and supported by the Defense Advanced Research Projects Agency (DARPA) and the Space and Naval Warfare System Center (SPAWARSYSCEN), San Diego under Contract No. N66001-06-C-2020 (CBMANET), by the National Science Foundation under grant No. 0831728, and by the ONR grant No. N00014-09-1-0700. The material in this paper was presented in part at the IEEE International Symposium on Information Theory, Austin, TX, June 2010 and was submitted in part to the 2011 IEEE International Symposium on Information Theory. W.-Y. Shin and V. Tarokh are with the School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138 USA (E-mail:{wyshin, vahid}@seas.harvard.edu). D. E. Lucani was with the Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. He is now with the Instituto de Telecomunicacoes, Universidade do Porto, Porto 4200-465, Portugal (E-mail: dlucani@fe.up.pt). M. Médard is with the Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA (E-mail: medard@mit.edu). M. Stojanovic is with the ECE Department, Northeastern University, Boston, MA 02115 USA (E-mail: millitsa@mit.edu). SUBMITTED TO IEEE TRANSACTIONS ON INFORMATION THEORY 2

اسناد مشابه

  • On the Order Optimality of Large-scale Underwater Networks—Part II: Dense Network Model

    سند علمی۲۰۱۱Won-Yong Shin, Daniel E. Lucani, Muriel Médard, Milica Stojanovic

    This is the second in a two-part series of papers on informationtheoretic capacity scaling laws for an underwater acoustic network with n regularly located nodes on a square, in which both bandwidth and received signal power can be limited significantly. Part I showed that in ext

  • On the Order Optimality of Large-scale Underwater Networks—Part I: Extended Network Model

    سند علمی۲۰۱۱Won-Yong Shin, Daniel E. Lucani, Muriel Médard, Milica Stojanovic

    In this two-part paper, information-theoretic capacity scaling laws are analyzed in an underwater acoustic network with n regularly located nodes on a square, in which both bandwidth and received signal power can be limited significantly. Parts I and II deal with an extended netw

  • Dirty-data-based alarm prediction in self-optimizing large-scale optical networks

    مقاله‌ی دسترسی آزاد۲۰۱۹Optics ExpressBoyuanYan, YongliZhao, SabidurRahman, YajieLi
  • Cross Layer Design for Localization in Large-Scale Underwater Sensor Networks

    سند علمی۲۰۱۴Yuanfeng ZHANG, Keyu CHEN

    There are many technical challenges for designing large-scale underwater sensor networks, especially the sensor node localization. Although many papers studied for large-scale sensor node localization, previous studies mainly study the location algorithm without the cross layer d

  • Localization for Large-Scale Underwater Sensor Networks

    سند علمی۲۰۰۷NetworkingRobert Zhong Zhou, Jun-Hong Cui, Shengli Zhou

    In this paper, we study the localization problem in large-scale underwater sensor networks. The adverse aqueous environments, the node mobility, and the large network scale all pose new challenges, and most current localization schemes are not applicable. We propose a hierarchica

  • Large-Scale Transit Network Optimization

    سند علمی۲۰۰۶Fang Zhao

    This article proposes a methodology for developing optimal transit networks (route structures and headways) that minimizes transit transfers and total user cost while maximizing service coverage, given information on transit demand, transit fleet size, and the street network of t