Abstract
Wireless Sensor Network (WSN) plays a significant role in today’s era. It supports various applications in terms of monitoring, tracking, communication, sensing, preventing. By Systematic Literature Study, the objective is to analyze the various issues and limitations in WSN has facing and their solution to improve their performance in networking. For good performance of WSN first we identified optimization technique that is modelled to solve WSN issues. Afterwards various optimization algorithms for optimized the result at local search space for a global survival. Through this study main objective is to identify various optimization techniques they help in WSN to solve for their issues. Besides that this study helps in identifying the loopholes in existing techniques and their future scope and limitations.
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Gupta, S., Rana, A., Kansal, V. (2020). Optimization in Wireless Sensor Network Using Soft Computing. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_74
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DOI: https://doi.org/10.1007/978-981-15-1480-7_74
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