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Tytuł artykułu

Self-organization and Routing Algorithms for the Purpose of the Sensor Network Monitoring Environmental Conditions on a Given Area

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article describes an implementation of wireless sensor network (WSN) based on the IEEE 802.15.4-2006 standard, which was designed to monitor environmental conditions (e.g. temperature, humidity, light intensity, etc.) on a given area. To carry out this task, a self-organization algorithm called KNeighbors was selected. It exhibits low computational complexity and is satisfactory with respect to energy consumption. Additionally, the authors proposed a novel routing algorithm and some modifications to the MAC layer of the IEEE 802.15.4 standard. The article discusses the selected algorithms and procedures that were implemented in the network.
Rocznik
Tom
Strony
39--52
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • National Institute of Telecommunications Wireless Systems and Networks Department, Jaśkowa Dolina st 15, 80-252 Gdańsk, Poland
autor
  • National Institute of Telecommunications Wireless Systems and Networks Department, Jaśkowa Dolina st 15, 80-252 Gdańsk, Poland
autor
  • National Institute of Telecommunications Wireless Systems and Networks Department, Jaśkowa Dolina st 15, 80-252 Gdańsk, Poland
autor
  • National Institute of Telecommunication, Szachowa st 1, 04-894 Warsaw, Poland
autor
  • National Institute of Telecommunications Wireless Systems and Networks Department, Jaśkowa Dolina st 15, 80-252 Gdańsk, Poland
Bibliografia
  • [1] Y. Sankarasubramaniam, O. Akan, and I. Akyildiz, “ESRT: Event-tosink reliable transport in wireless sensor networks”, in Proc. 4th Int. Symp. on Mob. Ad Hoc Netw. & Comput. MobiHoc 2003, Annapolis, MD, USA, 2003, s. 177–188 (doi: 10.1145/778415.778437).
  • [2] F. Stann and J. Heideman, “RMST: Reliable data transport in sensor networks”, in Proc. 1st IEEE Int. Worksh. Sensor Netw. Protoc. & Appl. SNPA 2003, Anchorage, AK, USA, 2003, pp. 102–113.
  • [3] S. Park, R. Vedantham, R. Sivakumar, and I. Akyildiz, “A scalable approach for reliable downstream data delivery in wireless sensor networks”, in Proc. 5th Int. Symp. on Mob. Ad Hoc Netw. & Comput. MobiHoc 2004, Tokyo, Japan, 2004, pp. 78–89 (doi: 10.1145/989459.989470).
  • [4] C.-Y. Wan, A. T. Campbell, and L. Krishnamurthy “PSFQ: A reliable transport protocol for sensor networks”, in Proc. 1st ACM Int. Worksh. on Wirel. Sensor Netw. & Appl. WSNA 2002, Atlanta, GA, USA, 2002, pp. 1–11 (doi: 10.1145/570738.570740).
  • [5] N. Tezcan and W. Wang, “ART: An asymmetric and reliable transport mechanism for wireless sensor networks”, Int. J. of Sensor Netw., Special Issue on Theoretical and Algorithmic Aspects in Sensor Networks, vol. 2, no. 3-4, pp. 188–200, 2006.
  • [6] Y. G. Iyer, S. Gandham, and S. Venkatesan, “STCP: A generic transport layer protocol for wireless sensor networks”, in Proc. 14th Int. Conf. on Comp. Commun. & Netw. ICCCN 2005, San Diego, CA, USA, 2005, pp. 449–454.
  • [7] A. Karanjawane, A. W. Rohankar, S. D. Mali, and A. A. Agarkar, “Transport layer protocol for urgent data transmission in WSN”, Int. J. of Res. in Engin. & Technol., vol. 2, no. 11, pp. 81–89, 2013.
  • [8] K. Bronk, A. Lipka, and B. Wereszko, “Analysis of the topology control algorithms for the purpose of the hardware implementation”, Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, vol. 4, pp. 364–367, 2012 (in Polish).
  • [9] N. Li, J.C. Hou, and L. Sha, “Design and analysis of an MSTbased topology control algorithm”, in Proc. 22nd Ann. Joint Conf. . IEEE Comp. & Commun. INFOCOM 2003, San Francisco, CA, USA, 2003, pp. 1702–1712.
  • [10] M. Bahramgiri, M. Hajiaghayi, and V. S. Mirrokni, “Fault-tolerant and 3-dimensional distributed topology control algorithms in wireless multi-hop networks”, in Proc. 11th Int. Conf. on Comp. Commun. & Netw. ICCCN 2002, Miami, FL, USA, 2002, pp. 392–397.
  • [11] S. A. Borbash and E. H. Jennings, “Distributed topology control algorithm for multihop wireless networks”, in Proc. Int. Joint Conf. on Neural Netw. IJCNN’02, Honolulu, Hawaii, USA, 2002, pp. 355–360.
  • [12] D. M. Blough, M. Leoncini, G. Resta, and P. Santi, “The k- Neighbors approach to interference bounded and symmetric topology control in ad hoc network, IEEE Trans. on Mob. Comput., vol. 5, no. 9, pp. 1267–1282, 2006.
  • [13] K. Wu and W. Liao, “Revisiting topology control for multi-hop wireless ad hoc networks“, IEEE Trans. on Wirel. Commun., vol. 7, no. 9, pp. 3498–3506, 2008.
  • [14] K. Bronk, A. Lipka, B. Wereszko, and K. Żurek, “Hardware implementation of the self-organizing sensor network to monitor of the environmental parameters”, Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, vol. 6, pp. 246–249, 2013 (in Polish).
  • [15] IEEE Std 802.15.4-2006: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs), IEEE, New York, 2006.
  • [16] R. Niski, K. Bronk, J. Żurek, A. Lipka, B. Wereszko, and K. Żurek, “A hardware demonstrator of the self-organizing sensor network to monitor condition and hydro-meteorological threats at sea – Stage 1”, National Institute of Telecommunications, Gdańsk, 2011 (in Polish).
  • [17] lwIP 2.0.0 LightweightIPstack [Online]. Available: http://www.nongnu.org/lwip/
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4edcb6be-4d60-4892-9c27-8168ad5563c3
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