• DocumentCode
    3185410
  • Title

    Directed diffusion based on weighted Grover´s quantum algorithm (DWGQ)

  • Author

    Bushnag, Anas ; Alessa, Ali ; Minzhi Li ; Elleithy, Khaled

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA
  • fYear
    2015
  • fDate
    1-1 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wireless sensor networks (WSN) have become involved in many different areas such as military, disaster management, and many other civic uses. So, improving the overall performance of the network is very necessarily to achieve the desired aim. One of the most famous protocols that used in wireless sensor networks is the Directed Diffusion protocol. Also, Quantum computing is a new field in computer science and it tries to speed up the process of any computation by parallelizing the work using the same hardware. Therefore, in this study a comparison is conducted between the classical Directed Diffusion Protocol and the proposed protocol that based on the weighted Grover´s Quantum Algorithm. An example of the proposed solution shows that our protocol is performing much better in case of end-to-end delay and power consumption.
  • Keywords
    protocols; quantum computing; telecommunication computing; wireless sensor networks; WSN; directed diffusion protocol; end-to-end delay; power consumption; quantum computing; weighted Grover quantum algorithm; wireless sensor networks; Complexity theory; Mathematical model; Power demand; Quantum computing; Routing protocols; Wireless sensor networks; Directed Diffusion; Grover´s Quantum Algorithm; Weighted Grocer´s Algorithm; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
  • Conference_Location
    Farmingdale, NY
  • Type

    conf

  • DOI
    10.1109/LISAT.2015.7160216
  • Filename
    7160216