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Comparative Study of Wireless Sensor Networks Energy-Efficient Topologies and Power Save Protocols

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Ad hoc networks are the ultimate technology in wireless communication that allow network nodes to communicate without the need for a fixed infrastructure. The paper addresses issues associated with control of data transmission in wireless sensor networks (WSN) - a popular type of ad hoc networks with stationary nodes. Since the WSN nodes are typically battery equipped, the primary design goal is to optimize the amount of energy used for transmission. The energy conservation techniques and algorithms for computing the optimal transmitting ranges in order to generate a network with desired properties while reducing sensors energy consumption are discussed and compared through simulations. We describe a new clustering based approach that utilizes the periodical coordination to reduce the overall energy usage by the network.
Rocznik
Tom
Strony
68--75
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
  • Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska st 15/19, 00-665 Warsaw, Poland; Research Academic Computer Network (NASK), Wąwozowa st 18, 02-796 Warsaw, Poland, ens@ia.pw.edu.pl
Bibliografia
  • [1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirici, “A survay on sensor networks”, Commun. ACM, pp. 102–114, Aug. 2002.
  • [2] A. Hac, Wireless Sensor Network Design. New York: Wiley, 2003.
  • [3] P. Santi, Topology Control in Wireless Ad Hoc and Sensor Networks. Chichester: Wiley, 2005.
  • [4] P. Kwaśniewski and E. Niewiadomska-Szynkiewicz, “Optimization and control problems in wireless ad hoc networks”, in Evolutionary Computation and Global Optimization. Warsaw: WUT Publ. House, 2007, no. 160, pp. 175–184.
  • [5] J. Branch, G. Chen, and B. Szymański, “ESCORT: Energy-efficient sensor network communal routing topology using signal quality metrics”, Lecture Notes in Computer Science, vol. 3420, Berlin/Heidelberg: Springer, 2005, pp. 438–448.
  • [6] V. Rodoplu and T. Meng, “Minimum energy mobile wireless net- works”, IEEE J. Selec. Areas Mob. Comp., vol. 4, no. 3, pp. 310–317, 1999.
  • [7] N. Li, J. Hou, and L. Sha, “Design and analysis of an MST-based topology control algorithm”, in Proc. IEEE Infocom’03 Conf., San Francisco, USA, 2003, pp. 1702–1712.
  • [8] D. Bertsekas and R. Gallager, Data Networks. Englewood Cliffs: Pentice-Hall, 1992.
  • [9] Ns2. The network simulator, http://www.isi.edu/nsnam/ns/
  • [10] MICA2, Crossbow Technology Inc., http://www.xbow.com/ Products/productdetails.aspx?sid=174
  • [11] MPR/MIB user’s manual, Crossbow Technology Inc., 2007, http://www.xbow.com/support/support pdf files/ mpr-mib series users manual.pdf
  • [12] A. A. Abbasi and M. Younis, “A survey on clustering algorithms for wireless sensor networks”, Comput. Commun. Arch., vol. 30, no. 14–15, pp. 2826–2841, 2007.
  • [13] D. J. Dechene, A. E. Jardali, M. Luccini, and A. Sauer, “Wireless sensor networks – a survey of clustering algorithms for wireless sensor networks”, Project Report, Department of Electrical and Computer Engineering, The University of Western Ontario, Canada, Dec. 2006.
  • [14] N. Israr and I. Awan, “Energy efficient intra cluster head communication protocol”, in Proc. 6th Ann. Postgrad. Symp. Converg. Telecommun. Netw. Broadcast., Liverpool, UK, 2006.
  • [15] N. Israr and I. Awan, “Coverage based inter cluster communication for load balancing in heterogeneous wireless sensor networks”, J. Telecommun. Syst., vol. 38, no. 3–4, pp. 121–132, 2008.
  • [16] O. Younis and S. Fahmy, “HEED: a hybrid, energy-efficient, distributed clustering aproach for ad hoc sensor networks”, EEE Trans. Mob. Comp., vol. 3, no. 4, pp. 366–379, 2004.
  • [17] Y. Xu, J. Heidemann, and D. Estrin, “Geography-informed energy conservation for ad hoc routing”, in Proc. IEEE Ann. Int. Conf. Mob. Comp. Netw., Rome, Italy, 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0016-0031
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