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Energy Efficient Data Accumulation Scheme Based on ABC Algorithm with Mobile Sink for IWSN

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Expert Clouds and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 444))

Abstract

The current trend in Wireless Sensor Network (WSN) is based on multihop networking which is used to transmit data through various networks. The usage of multihop forwarding in large-scale WSNs cause an energy hole problem, which results in a considerable amount of transmission overhead. In this paper, a multiple portable sink-based information gathering method that combines energy balanced clustering as well as Artificial Bee Colony-based data gathering is proposed in order to address these concerns. The remaining energy of the node is used to determine which node will serve as the cluster’s centre of gravity. According to the findings of this research, mobile sink balancing may be approached from three different perspectives: data gathering expansion, mobile route distance reduction, and network reliability optimization. This study is conducted with the use of a significant and intense WSN that enables a specific level of data delay to be tolerated in order to be successful. The paper proposes the optimization technique which is known as Artificial Bee Colony optimization technique that can accept the reduction losses in data communication, improve network lifetime, save the energy of the system, maintain the reliability of the system, and increase the network efficiency.

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Correspondence to S. Senthil Kumar .

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Senthil Kumar, S., Naveeth Babu, C., Arthi, B., Aruna, M., Charlyn Pushpa Latha, G. (2022). Energy Efficient Data Accumulation Scheme Based on ABC Algorithm with Mobile Sink for IWSN. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Expert Clouds and Applications. Lecture Notes in Networks and Systems, vol 444. Springer, Singapore. https://doi.org/10.1007/978-981-19-2500-9_10

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