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Performance Impact on Different Parameters by the Continuous Evolution of Distributed Algorithms in Wireless Sensor Networks: A Study

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Emerging Trends in Expert Applications and Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 841))

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Abstract

Wireless sensing network is one among the rising networks that work underneath inherent resource constraints. Topologies of those forms of networks will rework dynamically supporting the placement, variety of sensing element nodes, and application. It is indispensable to create effective distributed algorithms to handle the energy, information measure limitations of WSNs. With time, variety of algorithms have evolved for WSNs. However, it is exhausting to mention that anyone of the prevailing algorithms is optimum for these networks in each and every situation. We have a tendency to study many algorithms for WSNs that majorly influenced the performance of these networks. For each new algorithm built, one or additional Quality of Service (QoS) parameter of the network proportionally improved the performance of the network. This paper emphasizes on providing a summary of the schemes proposed by different scholars for the development of energy-efficient distributed algorithms and improved QoS parameters of the network at one place.

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Correspondence to Gaurav Gupta .

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Soni, H., Gupta, G., Chandna, V.K. (2019). Performance Impact on Different Parameters by the Continuous Evolution of Distributed Algorithms in Wireless Sensor Networks: A Study. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_79

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