Self-Organizing Wireless Ad-Hock Sensor Networks

• Autorzy: Ruciński D. , Kłopotek M. , Tchórzewski J.
• Języki publikacji: EN

Abstrakty

EN

The main target of this article is to review the main items connected with Smart Dust and their resolving proposals by research workers. In chapter 1 contains hardware description, chapter 2 contains software description divided Into positioning problems, routing, description of TinyOS, tools used for building working environment and security, chapter 3 contains conclusions and proposals for future development.

Słowa kluczowe

EN

smart dust; self-organizing network; distributed artificial intelligence; tiny operating system

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2005
• Tom: Vol. 1(5)
• Strony: 69--80
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Ruciński D.

• Warszawa, Polska Akademia Nauk, Instytut Podstaw Informatyki

autor

Kłopotek M.

• Polska Akademia Nauk, Instytut Podstaw Informatyki, Warszawa
• Zakład Sztucznej Inteligencji, Instytut Informatyki, Akademia Podlaska, Siedlce

autor

Tchórzewski J.

• Akademia Podlaska, Wydział Nauk Ścisłych, Instytut Informatyki, Zakład Sztucznej Inteligencji

Bibliografia

• [1] Joseph M. Kahn, Randy Howard Katz, and Kristofer S. J. Pister Emerging Challenges: Mobile Networking for "Smart Dust". (http://www-ee.stanford. edu/~jmk/pubs/jcn.00.pdf)
• [2] Sotiris Nikoletseas: Efficient Data Propagation Algorithms in Smart Dust Networks. (http://www.cs.cas.cz/sofsem/06/data/prezentace/22/nikoletseas.pdf)
• [3] Philip Levis, David Culler Mate: A Tiny Virtual Machine for Sensor Net-works (http://www.cs.berkeley.edu/~pal/pubs/mate.pdf)
• [4] Xuan Long Nguyen, Tye Rattentbury: Localization algorithms for sensor networks using RF signal strength, (http://www.cs.berkeley.edu/~xuanlong/ cs252/sensor.ps)
• [5] Kamin Whitehouse, David Culler: Calibration as Parameter Estimation in Sensor Networks (http://www.tinyos.net/papers/p59-whitehouse.pdf)
• [6] Kamin Whitehouse, Cory Sharp Eric Brewer David Culler: A Neighbor-hood Abstraction for Sensor Networks, (http://compilers.cs.ucla.edu/em- soft05/WhitehouseSharpBrewerCuller04.pdf)
• [7] Cameron Dean Whitehouse: The Design of Calamari: an Ad-hoc Locali-zation System for Sensor Networks (http://www.cs.berkeley.edu/~kamin/ pubs/wh itehouse02calamari.pdf)
• [8] Chris Karlof, David Wagner: Secure routing in wireless sensor networks: attacks and countermeasures.( http://www.cs.berkeley.edu/~ckarlof/pa- pers/sen route-ad n j. pdf)
• [9] Kaan Yuksel, Jens-Peter Kaps, and Berk Sunar: Universal Hash Func-tions for Emerging Ultra-Low-Power Networks, (http://www.crypto.wpi.edu/ Publications/Documents/YukselKapsCnds04.pdf)
• [10] David Gay, Philip Levis, David Culler, Eric Brewer: NesC 1.1 Language Reference Manual (http://nescc.sourceforge.net/papers/nesc-ref.pdf)
• [11] Philip Levis and Nelson Lee: TOSSIM - A Simulator for TinyOS Networks (http://www.cs.berkeley.edu/~pal/pubs/nido.pdf)
• [12] Philip Levis, Nelson Lee, Matt Welsh, and David Culler: TOSSIM -Accurate and Scalable Simulation of Entire TinyOS Applications (In Proc. Second ACM International Workshop on Wireless Sensor Networks and Applications (SenSys 03), 2003)
• [13] Deepak Ganesan: TinyOS and NesC (http://www.cs.umass.edu/~dgane- san/courses/fall04/slides/CS691 AA-TinyOSNesC.pdf)