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Directed Diffusion based on weighted Grover’s Quantum Algorithm (DWGQ)

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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.
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... This solution uses such techniques as data aggregation and congestion management in order to balance the traffic uniformly, which helps in balancing the load on sensor nodes and thus, increases the network lifetime [17]. The LEACH routing algorithm is characterized as hierarchical and is designed to gather and receive data from and to the sink node, which essentially acts as a base station for ad-hoc networks [18,19]. PEGASIS and LEACH algorithms are similar. ...
... For bottleneck prediction throughout network lifetime, sensors are controlled via monitoring buffer capacity and channel usage. On the other hand, congestion management and avoidance mechanisms can increase the performance of network and balance traffic load in multi-hop routing [18]. ...
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Routing techniques in wireless sensor networks: a survey Wireless communications Routing protocol based on Grover's searching algorithm for Mobile Ad-hoc Networks Directed diffusion: a scalable and robust communication paradigm for sensor networks
  • J N Al-Karaki
  • A E Kamal Meng
  • W Song Intanagonwiwat
  • R Govindan
  • D Estrin
Al-Karaki, J.N. and A.E. Kamal, Routing techniques in wireless sensor networks: a survey. Wireless communications, IEEE, 2004. 11(6): p. 6-28. [3] Meng, L. and W. Song, Routing protocol based on Grover's searching algorithm for Mobile Ad-hoc Networks. Communications, China, 2013. 10(3): p. 145-156. [4] Intanagonwiwat, C., R. Govindan, and D. Estrin. Directed diffusion: a scalable and robust communication paradigm for sensor networks. in Proceedings of the 6th annual international conference on Mobile computing and networking. 2000. ACM. [5]
An improved measure in Grover quantum searching algorithm Quantum computing for computer scientists
  • P.-C Li
  • S.-Y. Li Yanofsky
  • M A Mannucci
Li, P.-C. and S.-Y. Li, An improved measure in Grover quantum searching algorithm. Zhineng Xitong Xuebao(CAAI Transactions on Intelligent Systems), 2007. 2(1): p. 35-39. [6] Yanofsky, N.S. and M.A. Mannucci, Quantum computing for computer scientists. Vol. 20. 2008: Cambridge University Press Cambridge. [7] WANG, Y., D.-C. HUANG, and Y.-H. YU, Current Research in Quantum Computation and Algorithm. Computer Systems & Applications, 2011. 6: p. 058. [8]
An improved measure in Grover quantum searching algorithm. Zhineng Xitong Xuebao(CAAI Transactions on Intelligent Systems)
  • P.-C Li
  • S.-Y. Li
Li, P.-C. and S.-Y. Li, An improved measure in Grover quantum searching algorithm. Zhineng Xitong Xuebao(CAAI Transactions on Intelligent Systems), 2007. 2(1): p. 35-39.
Computer Systems & Applications
  • Y Wang
  • D.-C Huang
  • Y.-H Yu