Review of WSN and Its Quality of Service Parameters Using Nature-Inspired Algorithm

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Abstract

Wireless sensor networks have become the focus of many recent researches focusing on topics like energy optimization, compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting and many more. The three major concern revolves around efficient energy usage, service quality and security management. To achieve success in these domains, it is imperative to have WSN optimization. Also, in applications like vehicular ad hoc networks and body area sensor networks, there can be conflict between these concerns and hence requires some trade-off. Because of these heavy energy expenditure and data processing needs, there is a requirement to review which WSN-based research has been done for optimizing the same through the use of bio-mimetic strategy-based optimization techniques which encompass numerous optimization algorithms. Thus, this paper reviews the various researches done to optimize quality of service parameters of wireless sensor networks and hence also aims to classify the challenges which are faced by these nature-inspired algorithms in WSN environment and thus identify future scope to consider a more comprehensive approach toward the subject matter.

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APA

Mahapatra, C., Payal, A., & Chopra, M. (2020). Review of WSN and Its Quality of Service Parameters Using Nature-Inspired Algorithm. In Advances in Intelligent Systems and Computing (Vol. 1059, pp. 451–461). Springer. https://doi.org/10.1007/978-981-15-0324-5_39

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