An Improved Energy Efficient Scheme for Data Aggregation in Internet of Things (IoT)

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Abstract

This work is focused on improving the life span of a network through the reduction in power expenditure. The earlier approaches use multilevel clustering for aggregating data to the sink. In this arrangement, the division of entire network is carried out into clusters. Afterward, the selection of cluster head is done in every cluster. The cluster heads transmit information to base station which later passes on over the internet. In this research work, the multilevel clustering will be improved so that lifetime of the network can be enhanced. In the proposed approach, the gateway nodes will be deployed in the network for the data aggregation. The cluster heads will transmit information to the gateway nodes which later transmit that information to base station. The proposed approach will be implemented in MATLAB and it will be compared with the existing approach of multilevel clustering on the basis of throughput, packet loss and amount of inactive nodes. The proposed improvement leads to increase the throughput of the network, packet loss and number of dead nodes will be reduced as compared to existing approach.

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Sharma, K., & Kumar, R. (2020). An Improved Energy Efficient Scheme for Data Aggregation in Internet of Things (IoT). In Lecture Notes on Data Engineering and Communications Technologies (Vol. 49, pp. 721–730). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-43192-1_80

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