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
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;
Conference_Titel :
Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
Conference_Location :
Farmingdale, NY
DOI :
10.1109/LISAT.2015.7160216