Abstract
The WSN uses wireless communication to realize its information transmission. WSN is a network data system composed of a large number of wireless data collectors with sensing functions. In the WSN-based sensing function structure, the size should be small, more power saving, low price, and can achieve design goals. This study first assumes that WSN uses routing algorithm assumptions in the protocol, and starts from the node position and direction information, and considers the dynamic evolution of the network. Each public node has random mobility, and the WSN node can help determine the location information of the public node, and then use the node location information to have effective routing performance and effective. However, the experimental results also strongly support the energy saving ability of this research. In the overall system energy saving and power consumption reduction, the actual electric energy hazard is greatly reduced, so in the spirit of ISD strategies, if the WSN system is installed in a high-risk and explosive atmosphere, it can significantly improve the safety level.
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References
Meng, Z., Pan, J.-S.: HARD-DE: Hierarchical ARchive based mutation strategy with Depth information of evolution for the enhancement of Differential Evolution on numerical optimization. IEEE ACCESS 7, 12832–12854 (2019)
Chu, K.C., Horng, D.J., Chang, K.C.: Numerical optimization of the energy consumption for wireless sensor networks based on an improved ant colony algorithm, J. IEEE Access 7, 105562–105571 (2019)
Meng, Z., Pan, J.-S., Kong, L.: Parameters with adaptive learning mechanism (PALM) for the enhancement of differential evolution. Knowl-Based Syst 141, 92–112 (2018)
Nokhanji, N., Hanapi, Z.M., Subramaniam, S., Mohamed, M.A.: An energy aware distributed clustering algorithm using fuzzy logic for wireless sensor networks with non-uniform node distribution. Wireless Pers. Commun. 84(1), 395–419 (2015)
Obiakor, C.L., Azubogu, A.C.O., Ayinla, S.L.: Simple cryptographic data security algorithm for wireless sensor network. Electroscope J. 9(9), 58–66 (2017)
Vallikannu, R., George, A., Srivatsa, S.K.: Autonomous localization based energy saving mechanism in indoor MANETs using ACO. J. Discr. Algorithms 33, 19–30 (2015)
Chang, K.-C., Chu, K.-C., Wang, H.-C., Lin, Y.-C., Pan, J.-S.: Agent-based middleware framework using distributed CPS for improving resource utilization in smart city. Futur. Gener. Comput. Syst. 108, 445–453 (2020)
Adhyapak, D.P., Bhavani, S., Laturkar, A.P.: Swarm based cross layer optimization protocol for WMSN. Indonesian J. Electr. Eng. Comput. Sci. 10(1):302–308 (2018)
Sarkar, A., Murugan, T.S.: Routing protocols for wireless sensor networks: what the literature says?. Alexandria Eng. J. 55(4), 3173–3183 (2016)
Shabeera, T.P., Kumar, S.D.M., Salam, S.M., Krishnan, K.M.: Optimizing vm allocation and data placement for data-intensive applications in cloud using aco metaheuristic algorithm. Eng. Sci. Technol. Int. J. 20(2), 616–628 (2017)
Chang, K.C., Chu, K.C., Wang, H.C., Lin, Y.C., Pan, J.S.: Energy saving technology of 5G base station based on internet of things collaborative control. IEEE Access 8, 32935–32946 (2020)
Said, O.: Analysis design and simulation of internet of things routing algorithm based on ant colony optimization. Int. J. Commun. Syst. 30(8), 3174 (2017)
Zhao, Z., Hou, M., Zhang, N., et al.: Multipath routing algorithm based on ant colony optimization and energy awareness. Wirel. Personal Commun. 94(4), 2937–2948 (2017)
Lu, C.C., Chang, K.C., Chen, C.Y.: Study of high-tech process furnace using inherently safer design strategies (III) advanced thin film process and reduction of power consumption control. J. Loss Prevent. Process Ind. 43, 280–291 (2016)
Chen, C.Y., Chang, K.C., Wang, G.B.: Study of high-tech process furnace using inherently safer design strategies (I) temperature distribution model and process effect. J. Loss Prevent. Process Ind. 26, 1198–1211 (2013)
Lu, C.C., Chang, K.C., Chen, C.Y.: Study of high-tech process furnace using inherently safer design strategies (IV). The advanced thin film manufacturing process design and adjustment. J. Loss Prevent. Process Ind. 40, 378–395 (2016)
Radha, M., Sakthivel, N.K., Subasree, S.: Double cluster based multi-path routing technique for wireless sensor networks. Int. J. Pure Appl. Mathe. 117(9), 169–173 (2017)
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Chang, KC. et al. (2022). Study on Energy-Saving Optimization and Simulation of Wireless Sensor Networks Using Ant Colony Algorithm. In: Pan, JS., Balas, V.E., Chen, CM. (eds) Advances in Intelligent Data Analysis and Applications. Smart Innovation, Systems and Technologies, vol 253. Springer, Singapore. https://doi.org/10.1007/978-981-16-5036-9_35
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DOI: https://doi.org/10.1007/978-981-16-5036-9_35
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