- 期刊
- OpenAccess
A Novel Enhanced Coverage Optimization Algorithm for Effectively Solving Energy Optimization Problem in WSN
並列摘要
In Wireless Sensor Networks (WSN), Efficient-Energy Coverage (EEC) is one of the important issues for considering the (WSNs) implementation. In this study, we have developed the new algorithm ECO (Enhanced Coverage Optimization) for solving the EEC problem effectively. The proposed algorithm uses three types of major work for effectively solving the problem. One of the three pheromones is the local pheromone, which helps an ant organize its coverage set with fewer sensors. The other two pheromones are global pheromones, one of which is used to optimize the number of required active sensors per Point of Interest (PoI) and the other is used to form a sensor set that has as many senses as an ant has selected the number of active sensors by using the former pheromone. This study also introduces one technique that leads to a more realistic approach to solving the EEC problem that is to utilize the probabilistic sensor detection model. The main goal of ECO is Efficient Coverage on target area with minimum energy consumption and increased network's lifetime.
延伸閱讀
- Zhang, L. Y., Wu, Q., Chen, C., & Yue, Y. (2012). Solution for the Nonlinear Multi-Objective Model in Construction Projects Using Improved Particle Swarm Optimization. Research Journal of Applied Sciences, Engineering and Technology, 4(19), 3565-3573. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201210-201512070007-201512070007-3565-3573
- Lu, Y., liu, X., & li, M. (2017). Study on Energy-Saving Routing Algorithm Based on Wireless Sensor Network. 電腦學刊, 28(4), 227-235. https://doi.org/10.3966/199115592017082804024
- Yan, Q., Zhang, Q., & Zou, X. (2016). A Cost Optimization Model for Multiresource Leveling Problem without Project Duration Constraint. Discrete Dynamics in Nature and Society, 2016(), 184-191-018. https://doi.org/10.1155/2016/1514959
- Feng, W., Gao, H., & Cao, D. (2022). Performance Study of a Network Intrusion Detection Algorithm Improved by an Optimization Algorithm. International Journal of Network Security, 24(5), 953-958. https://doi.org/10.6633/IJNS.202209_24(5).18
- Bomgni, A. B., & Mdemaya, G. B. J. (2020). An Energy-Efficient Protocol Based on Semi-Random Deployment Algorithm in Wireless Sensors Networks. International Journal of Network Security, 22(4), 602-609. https://doi.org/10.6633/IJNS.202007_22(4).08