Abstract:
When particle swarm optimization is applied in coverage optimization of WSN, its coverage rate is fast. However, this algorithm easily falls into local optimization and i...Show MoreNotes: "Retracted: ""Coverage Optimization Strategy of Wireless Sensor Network Based on Swarm Intelligence Algorithm"" by J. Xia in 2016 International Conference on Smart City and Systems Engineering (ICSCSE) Digital Object Identifier: 10.1109/ICSCSE.2016.0057 After careful and considered review by a duly constituted expert committee, IEEE has retracted the proceedings of this conference from IEEE Xplore, including this article. IEEE no longer has confidence in the review mechanisms used by this conference to screen, review, and accept this article. IEEE concluded that the peer review process was inadequate"
Metadata
Abstract:
When particle swarm optimization is applied in coverage optimization of WSN, its coverage rate is fast. However, this algorithm easily falls into local optimization and it will cause premature phenomenon. Using artificial fish-swarm algorithm in coverage optimization of WSN has the advantage of effective global search performance. However, its convergence speed is slow in iteration and it is difficult to find out the optimal solution. We integrate two algorithms to be used in WSN coverage. Global coverage of artificial fish swarm algorithm is used to search satisfactory solution domain. Then, particle swarm algorithm is adopted to perform rapid local search, adjust position and direction of WSN node, and eliminate coverage overlay region and blind area. Thus, the network node distribution is reasonable with maximized network coverage rate. Finally, artificial fish and improved particle swarm hybrid coverage algorithm are used to optimize the network. The simulation results prove that the improved hybrid algorithm can effectively improve the rate of network coverage in WSN.
Notes: "Retracted: ""Coverage Optimization Strategy of Wireless Sensor Network Based on Swarm Intelligence Algorithm"" by J. Xia in 2016 International Conference on Smart City and Systems Engineering (ICSCSE) Digital Object Identifier: 10.1109/ICSCSE.2016.0057 After careful and considered review by a duly constituted expert committee, IEEE has retracted the proceedings of this conference from IEEE Xplore, including this article. IEEE no longer has confidence in the review mechanisms used by this conference to screen, review, and accept this article. IEEE concluded that the peer review process was inadequate"
Date of Conference: 25-26 November 2016
Date Added to IEEE Xplore: 19 January 2017
ISBN Information:
